Box
The Box MCP server is a secure bridge that connects AI agents to content stored in Box, enabling agents to search and access files, use AI to query their documents, extract metadata fields, and more
- Integration type
- Plugin
- Verification status
- Not applicable
- Platform
- ChatGPT
- Primary Subcategory
- Cloud File Storage
- Brand
- Box
- Access
- Account required
- First tracked
- 2026-07-28
- Tool count
- 56
- Geography
- US
The Primary Subcategory used for this profile’s headline score.
ChatGPT Plugin Discoverability Score
ChatGPT organic discovery is not live yet
Box is tracked in the ChatGPT Plugin registry. Public organic-discovery measurement is not live for ChatGPT yet, so there is no score to publish today.
Get notified when your score goes live
Enter your work email and we’ll notify you when ChatGPT Plugin organic discovery scoring launches.
No spam. Unsubscribe any time.
Competing in ChatGPT Cloud File Storage
View CategoryHow the Discoverability Score works
Organic discovery scoring for Box on ChatGPT is not live yet. The score will use measured agent conversations when it launches.
Organic discovery scoring is pending. Your Plugin score will appear on this scale when measurement goes live.
FoundDiagnostic
Whether Claude found your Plugin in connector search. It must be Found before it can reach the picker, but the score counts picker appearances—not search results.
PickedMain score
How often your Plugin appeared in the picker, or Claude invoked it directly, across contested conversations. This percentage is the Discoverability Score; the headline number is rounded.
PositionedDiagnostic
What position your Plugin appeared in when it was shown in the picker. This shows prominence, but it does not affect the score.
56 tools agents can invoke
Displays an interactive preview widget for a Box file directly in chat. Supports: ai, bmp, cr2, crw, csv, dng, doc, docx, dwg, eml, eps, gdoc, gif, gsheet, gslide, gslides, heic, htm, html, idml, indd, indt, inx, jpeg, jpg, key, nef, numbers, odp, ods, odt, pages, pdf, png, ppt, pptx, ps, psd, raf, raw, rtf, svg, svs, tga, tif, tiff, tsv, webp, wpd, xhtml, xls, xlsm, xlsx. PDF uses direct download; other types use the appropriate representation (e.g. PDF for documents, JPG/PNG for images). Use when user wants to view file contents without downloading. For file metadata, use get_file_info instead. If the preview payload would exceed 3MB (full file for PDFs; generated representation for other types), do not use this. Do not attempt to generate an interactive artifact. When a preview is open, the widget sends file preview context (fileId, fileName, currentPage) into the conversation. If the user asks about "this graph", "explain this", "what's on this page", or similar, look for that context and call get_preview_page(fileId, currentPage) to fetch the page image—do not ask the user which page they are on.
get_file_preview
Use when user asks follow-up question to a file previewed with get_file_preview ("Explain this...", "What does ____ mean?")Returns the current preview page as an image so you can analyze it (figures, text, charts, etc.). You cannot see the page content until you call this tool. Required workflow: 1. Find the file preview context in the conversation. The preview widget sends it as content like: "Current file preview: fileId=123, fileName=doc.pdf, currentPage=3. Use get_preview_page with this fileId and currentPage...". Look for this before calling. 2. Extract fileId and currentPage from that context. If the user asks about "this page", "these figures", "what's on the page", use currentPage from the context. If they name a page (e.g. "page 7"), use that number instead. 3. Call get_preview_page(fileId, currentPage) to fetch the page image. You must call this tool to see the page—there is no other way to view its content. 4. Use the returned image to answer the user's question. Do not call with a fileId or page from elsewhere. If no file preview context is present (no "Current file preview: fileId=..." in the conversation), do not call. Supported extensions: ai, bmp, cr2, crw, csv, dng, doc, docx, dwg, eml, eps, gdoc, gif, gsheet, gslide, gslides, heic, htm, html, idml, indd, indt, inx, jpeg, jpg, key, nef, numbers, odp, ods, odt, pages, pdf, png, ppt, pptx, ps, psd, raf, raw, rtf, svg, svs, tga, tif, tiff, tsv, webp, wpd, xhtml, xls, xlsm, xlsx.
get_preview_page
Creates or updates a shared link on a file using the Box API (PUT `/files/{file_id}` with a `shared_link` object). If you omit all optional link fields, Box applies the enterprise default access level (send an empty `shared_link`). **Optional fields:** - `access`: `open` | `company` | `collaborators` - `password`: set a string to require a password, or `null` to remove - `vanity_name`: custom vanity segment (sensitive content should not use vanity URLs) - `unshared_at`: when the link expires (paid accounts). Must be **strictly in the future**. Use an **ISO 8601** string (e.g. `"2027-12-31T23:59:59Z"`), **Unix epoch seconds** (10-digit string or number), or **milliseconds** (13-digit string or large number). Omit to leave unset. - `permissions.can_download`: whether the shared link allows download (must be nested as `permissions`: `{ "can_download": false }`; snake_case matches the Box API). **Public links (`access: "open"`):** Password and `unshared_at` are **required**. Expiry must be within **90 days**. Requests without both are rejected before calling Box. **Response:** `download_url` is only included when Box reports `effective_permission` of `can_download` or `can_edit`. The underlying Box file object can still carry a `download_url` while the link is preview-only; this tool clears `download_url` in that case. Use `effective_permission` and `permissions_can_download` to see what was applied. <examples> Default shared link: { "file_id": "123456789" } Company-only with download: { "file_id": "123456789", "access": "company", "permissions": { "can_download": true } } Public link (password + expiry required): { "file_id": "123456789", "access": "open", "password": "choose-a-strong-password", "unshared_at": "2026-09-07T23:59:59Z" } </examples>
Creates or updates a shared link on a folder using the Box API (PUT `/folders/{folder_id}` with a `shared_link` object). If you omit all optional link fields, Box applies the enterprise default access level. **Optional fields:** Same as `add_file_shared_link` (`access`, `password`, `vanity_name`, `unshared_at`, `permissions.can_download`). **Public links (`access: "open"`):** Password and `unshared_at` are **required**. Expiry must be within **90 days**. Requests without both are rejected before calling Box. <examples> { "folder_id": "987654321", "access": "collaborators" } Public link (password + expiry required): { "folder_id": "987654321", "access": "open", "password": "choose-a-strong-password", "unshared_at": "2026-09-07T23:59:59Z" } </examples>
Adds files, folders, or web links to a specific hub, enabling content organization within collaborative workspaces. Essential for building and curating hub content by adding relevant materials to the collaborative space. This tool enables the population of hubs with relevant content, making it easy to organize materials within collaborative workspaces. You can add multiple items at once, supporting efficient hub content management and organization. **Key Features:** - Adds multiple items (files, folders, web links) to hubs in a single operation - Supports batch operations for efficient content organization - Works with all Box content types: files, folders, and web links - Provides confirmation of successful additions with detailed results **Supported Item Types:** - `file`: Box files of any type - `folder`: Box folders and their contents - `web_link`: External web links and bookmarks <examples> Add a single file to a hub: <input> { "hub_id": "12345", "items": [ {"id": "98765", "type": "file"} ] } </input> Add multiple items to a hub: <input> { "hub_id": "12345", "items": [ {"id": "98765", "type": "file"}, {"id": "54321", "type": "folder"}, {"id": "11111", "type": "web_link"} ] } </input> Add resources to a team hub: <input> { "hub_id": "55555", "items": [ {"id": "111111", "type": "folder"}, {"id": "222222", "type": "web_link"}, {"id": "333333", "type": "file"} ] } </input> </examples>
Extracts metadata from files using Box AI in freeform format without requiring predefined template structures. This tool leverages Box AI to extract any type of information from documents using natural language instructions, allowing for flexible and unstructured metadata extraction. Unlike structured extraction tools that require predefined templates, this tool allows you to specify custom prompts to extract specific information from documents. You can extract dates, names, financial figures, key terms, or any other data by describing what you want in natural language. The tool processes files with text representations up to 1MB in size and supports various file types including documents, PDFs, presentations, and text files. You can analyze single files or multiple files simultaneously for comparative analysis. <examples> Basic document information extraction: <input> { "file_ids": ["123456789"], "prompt": "Extract the customer name, invoice number, and total amount from this document." } </input> Contract analysis: <input> { "file_ids": ["987654321"], "prompt": "Extract all dates, names, and key financial figures mentioned in this contract. Format as a structured list." } </input> Multi-file analysis: <input> { "file_ids": ["111222333", "444555666"], "prompt": "Compare these two proposals and extract the key differences in pricing, timeline, and deliverables." } </input> Custom field extraction: <input> { "file_ids": ["777888999"], "prompt": "Extract the following information if available: company name, contact email, project deadline, budget range, and main objectives." } </input> Structured output request: <input> { "file_ids": ["555666777"], "prompt": "Extract all financial data and format as JSON with keys: amount, currency, date, description." } </input> Missing data handling: <input> { "file_ids": ["888999000"], "prompt": "Extract client name, project start date, and budget. If any field is not found, return 'Not specified'." } </input> </examples>
Extracts structured metadata from files using Box AI based on custom field definitions. This tool leverages Box AI to process documents and return extracted data as structured key-value pairs, supporting various field types including strings, dates, numbers, enums, and multi-select options. This tool provides structured output by defining custom fields that specify what information to extract and how to structure it. The tool processes files with text representations and supports various file types including documents, PDFs, presentations, and text files. <examples> Custom fields extraction: <input> { "file_ids": ["123456789"], "fields": [ { "key": "customer_name", "displayName": "Customer Name", "description": "The name of the customer", "type": "string", "prompt": "Extract the customer name from the document" }, { "key": "invoice_amount", "displayName": "Invoice Amount", "description": "Total invoice amount", "type": "float" }, { "key": "payment_status", "displayName": "Payment Status", "description": "Current payment status", "type": "enum", "options": [ {"key": "paid"}, {"key": "pending"}, {"key": "overdue"} ] } ] } </input> Multi-file structured extraction with fields: <input> { "file_ids": ["111222333", "444555666"], "fields": [ { "key": "document_type", "displayName": "Document Type", "type": "enum", "options": [ {"key": "contract"}, {"key": "invoice"}, {"key": "proposal"} ] }, { "key": "key_dates", "displayName": "Important Dates", "type": "multiSelect", "options": [ {"key": "start_date"}, {"key": "end_date"}, {"key": "due_date"} ] } ] } </input> Complex field extraction: <input> { "file_ids": ["777888999"], "fields": [ { "key": "company_info", "displayName": "Company Information", "description": "Company name and contact details", "type": "string", "prompt": "Extract company name, address, and main contact information" }, { "key": "contract_value", "displayName": "Contract Value", "description": "Total contract amount in USD", "type": "float", "prompt": "Find the total contract value, convert to USD if needed" }, { "key": "signature_date", "displayName": "Signature Date", "description": "Date when contract was signed", "type": "date" } ] } </input> </examples>
Extracts structured metadata from files using Box AI's Enhanced Extract Agent based on custom field definitions. This tool leverages Box AI to process documents and return extracted data as structured key-value pairs, supporting various field types including strings, dates, numbers, enums, and multi-select options. It uses a specialized AI agent (enhanced_extract_agent) that provides improved extraction capabilities compared to the standard extraction. **IMPORTANT: This tool should ONLY be used when the user explicitly requests the "enhanced extract agent" or specifically asks for enhanced extraction capabilities. It is more expensive than the standard aiExtractStructuredFromFields tool and should not be used as a default option.** This tool provides structured output by defining custom fields that specify what information to extract and how to structure it. The tool processes files with text representations and supports various file types including documents, PDFs, presentations, and text files. You can analyze single files or multiple files simultaneously. <examples> Enhanced custom fields extraction: <input> { "file_ids": ["123456789"], "fields": [ { "key": "customer_name", "displayName": "Customer Name", "description": "The name of the customer", "type": "string", "prompt": "Extract the customer name from the document" }, { "key": "invoice_amount", "displayName": "Invoice Amount", "description": "Total invoice amount", "type": "float" }, { "key": "payment_status", "displayName": "Payment Status", "description": "Current payment status", "type": "enum", "options": [ {"key": "paid"}, {"key": "pending"}, {"key": "overdue"} ] } ] } </input> Enhanced multi-file structured extraction with fields: <input> { "file_ids": ["111222333", "444555666"], "fields": [ { "key": "document_type", "displayName": "Document Type", "type": "enum", "options": [ {"key": "contract"}, {"key": "invoice"}, {"key": "proposal"} ] }, { "key": "key_dates", "displayName": "Important Dates", "type": "multiSelect", "options": [ {"key": "start_date"}, {"key": "end_date"}, {"key": "due_date"} ] } ] } </input> Enhanced complex field extraction: <input> { "file_ids": ["777888999"], "fields": [ { "key": "company_info", "displayName": "Company Information", "description": "Company name and contact details", "type": "string", "prompt": "Extract company name, address, and main contact information" }, { "key": "contract_value", "displayName": "Contract Value", "description": "Total contract amount in USD", "type": "float", "prompt": "Find the total contract value, convert to USD if needed" }, { "key": "signature_date", "displayName": "Signature Date", "description": "Date when contract was signed", "type": "date" } ] } </input> </examples>
Extracts structured metadata from files using Box AI based on an existing metadata template. This tool leverages Box AI to process documents and return extracted data following the structure defined in a Box metadata template. This tool uses metadata templates that have been previously created in Box, allowing you to consistently extract information based on predefined schemas. The tool processes files with text representations and supports various file types including documents, PDFs, presentations, and text files. <examples> Metadata template extraction: <input> { "file_ids": ["987654321"], "template_key": "invoiceTemplate", "scope": "enterprise_12345" } </input> Multi-file extraction with template: <input> { "file_ids": ["111222333", "444555666"], "template_key": "contractTemplate", "scope": "enterprise_12345" } </input> Global template extraction: <input> { "file_ids": ["777888999"], "template_key": "properties", "scope": "global" } </input> </examples>
Extracts structured metadata from files using Box AI's Enhanced Extract Agent based on an existing metadata template. This tool leverages Box AI to process documents and return extracted data following the structure defined in a Box metadata template. It uses a specialized AI agent (enhanced_extract_agent) that provides improved extraction capabilities compared to the standard extraction. **IMPORTANT: This tool should ONLY be used when the user explicitly requests the "enhanced extract agent" or specifically asks for enhanced extraction capabilities. It is more expensive than the standard aiExtractStructuredFromMetadataTemplate tool and should not be used as a default option.** The tool processes files with text representations and supports various file types including documents, PDFs, presentations, and text files. You can analyze single files or multiple files simultaneously. <examples> Metadata template extraction: <input> { "file_ids": ["987654321"], "template_key": "invoiceTemplate", "scope": "enterprise_12345" } </input> Multi-file extraction with template: <input> { "file_ids": ["111222333", "444555666"], "template_key": "contractTemplate", "scope": "enterprise_12345" } </input> Global template extraction: <input> { "file_ids": ["777888999"], "template_key": "properties", "scope": "global" } </input> </examples>
Ask a question to a Box Hub using Box AI. This tool leverages Box AI to analyze hub content and provide intelligent responses to questions about the hub's resources, documents, and related materials. Hubs are collaborative spaces in Box that contain multiple files, folders, and resources organized around specific topics or projects. Box AI analyzes the content within the hub to provide comprehensive answers based on all accessible materials. This is particularly useful for getting insights across multiple documents and resources within a hub context, making it ideal for project-wide questions, content summaries, and cross-document analysis. **Citations:** The response includes citations as a separate content item that indicate which sources were referenced when generating the answer, allowing you to verify the AI's reasoning and locate relevant content. Citations are only returned when available and each citation includes the referenced content snippet, source file ID, and file name. <examples> General hub inquiry: <input> { "hub_id": "123456789", "question": "What is the main purpose and scope of this project hub?" } </input> Content analysis across hub: <input> { "hub_id": "987654321", "question": "What are the key milestones and deliverables mentioned across the documents in this hub?" } </input> Resource overview: <input> { "hub_id": "555666777", "question": "Summarize the current status and progress based on all available documents." } </input> Cross-document insights: <input> { "hub_id": "111222333", "question": "What are the main challenges and solutions discussed across the project materials?" } </input> Hub content summary: <input> { "hub_id": "444555666", "question": "Provide an overview of all the key information available in this hub." } </input> Collaborative analysis: <input> { "hub_id": "777888999", "question": "Based on all the documents in this hub, what recommendations can you make for next steps?" } </input> </examples>
Ask a question to multiple files using Box AI. This tool leverages Box AI to analyze content across multiple files simultaneously and provide intelligent responses that can compare, contrast, and synthesize information from all provided files. This is particularly useful for cross-document analysis, finding common themes, identifying differences, and getting comprehensive insights across related documents. Box AI processes all files together using the multi_item_qa mode, allowing for sophisticated analysis that spans multiple documents. This enables comparative analysis, pattern recognition across documents, and comprehensive answers that draw from the collective content of all specified files. **Citations:** The response includes citations as a separate content item that indicate which sources were referenced when generating the answer, allowing you to verify the AI's reasoning and locate relevant content. Citations are only returned when available and each citation includes the referenced content snippet, source file ID, and file name. <examples> Basic multi-file question: <input> { "file_ids": ["123456789", "987654321"], "question": "What are the common themes across these documents?" } </input> Comparative analysis: <input> { "file_ids": ["111222333", "444555666", "777888999"], "question": "Compare the methodologies discussed in these research papers." } </input> Cross-document data extraction: <input> { "file_ids": ["555666777", "888999000"], "question": "List all the key dates and milestones mentioned across these project documents." } </input> Comprehensive analysis: <input> { "file_ids": ["123456789", "987654321", "111222333"], "question": "Based on all these financial reports, what trends and recommendations can you identify?" } </input> Finding differences: <input> { "file_ids": ["444555666", "777888999"], "question": "What are the main differences in approach between these two proposals?" } </input> Synthesis and summary: <input> { "file_ids": ["123456789", "987654321", "111222333", "444555666"], "question": "Provide a comprehensive summary that synthesizes the key insights from all these documents." } </input> Pattern identification: <input> { "file_ids": ["555666777", "888999000", "123456789"], "question": "What patterns or recurring issues can you identify across these incident reports?" } </input> </examples>
Ask a question to a single file using Box AI. This tool leverages Box AI to analyze file content and provide intelligent responses to questions about the file. Supports various file types including documents, PDFs, presentations, and text files. The AI analyzes the file content and returns an answer based on the question asked. Box AI handles text documents with text representations up to 1MB in size. If the text file size exceeds 1MB, the first 1MB of text representation will be processed. **Citations:** The response includes citations as a separate content item that indicate which sources were referenced when generating the answer, allowing you to verify the AI's reasoning and locate relevant content. Citations are only returned when available and each citation includes the referenced content snippet, source file ID, and file name. <examples> Basic file question: <input> { "file_id": "123456789", "question": "What is the main topic of this document?" } </input> Specific content inquiry: <input> { "file_id": "987654321", "question": "What are the key findings mentioned in the executive summary?" } </input> Data extraction: <input> { "file_id": "555666777", "question": "List all the dates mentioned in this contract." } </input> Analysis request: <input> { "file_id": "111222333", "question": "What are the pros and cons discussed in this report?" } </input> Complex question: <input> { "file_id": "444555666", "question": "Based on the financial data in this spreadsheet, what trends can you identify?" } </input> </examples>
Copies an existing file to a destination folder in Box (see Box API Copy file). The source file is not modified. Provide `parent_folder_id` as the folder that will contain the new copy; use `"0"` for the user's root folder. Optionally set `name` to rename the copy; otherwise the original file name is used. **Key features:** - Destination folder external-access guard (same as other write tools) - Optional new name for the copied file <examples> Copy a file into a folder: { "file_id": "123456789", "parent_folder_id": "987654321" } Copy a file to the user's root folder with a new name: { "file_id": "123456789", "parent_folder_id": "0", "name": "Quarterly-report-copy.docx" } </examples>
Copies an existing folder to a destination parent folder in Box (see Box API Copy folder). The source folder is not modified. Provide `parent_folder_id` as the folder that will contain the new copy; use `"0"` for the user's root folder. The root folder (`folder_id` `"0"`) cannot be copied. Optionally set `name` for the new copy; otherwise the original folder name is used. **Key features:** - Destination folder external-access guard (same as other write tools) - Optional new name for the copied folder <examples> Copy a folder into another folder: { "folder_id": "123456789", "parent_folder_id": "987654321" } Copy a folder to the user's root with a new name: { "folder_id": "123456789", "parent_folder_id": "0", "name": "Project-backup" } </examples>
Creates a copy of an existing Box Hub via the Hubs v3 API (`POST /v3/hubs/{id}:copy`). The source hub is not modified. Copies the source hub's description (unless overridden) and shareable items into the new hub by setting `includeItems` to `true`. **Important:** Only items the user has permission to share into the new hub are copied. Items the user can view only through the hub itself (without share permission) are not copied. **hub_id** (required): The source hub to copy. Use `list_hubs` to find hubs and match by `title` to obtain the `id`, or take the id from the hub URL (`/hubs/{id}`). **title** (optional): Title for the new hub (max 50 characters). **description** (optional): Description for the new hub. When omitted, the source hub description is copied. <examples> Copy a hub, supplying a new title: { "hub_id": "12345", "title": "Research hub (copy)" } Copy using only the hub id (minimal body): { "hub_id": "12345" } </examples>
Creates a collaboration (invite) on a Box file, folder, or hub. **File or folder** — Box API [Add collaboration to an item](https://developer.box.com/reference/post-collaborations). Uses `target_type` `file` or `folder` with `target_id`. Allowed `role` values: `editor`, `viewer`, `previewer`, `uploader`, `previewer uploader`, `viewer uploader` (`co-owner` is not permitted via this tool). Optional `notify` controls email notification. `can_view_path` is only valid for **folder** targets. **Hub** — Box API [Create hub collaboration](https://developer.box.com/reference/v2025.0/post-hub-collaborations) (2025.0). Use `target_type` `hub` and `target_id` as the hub id (the API hub reference object sets its type field to the string `hubs`). Allowed hub roles: `editor` or `viewer` (`co-owner` is not permitted via this tool). **Collaborator:** `collaborator_type` is `user` or `group`. For a **user**, set `collaborator_id` (Box user id) or `collaborator_email`. For a **group**, set `collaborator_id` (group id). **Collaboration id for later updates:** On success this tool returns JSON with `collaboration_id`. Pass that id to `update_collaboration` with `collaboration_kind` `item` (file/folder) or `hub` (hub), matching how the invite was created. Examples (JSON): Invite a user to a folder as editor by email: {"target_type":"folder","target_id":"12345","collaborator_type":"user","collaborator_email":"colleague@example.com","role":"editor","notify":true} Invite a group to a file: {"target_type":"file","target_id":"67890","collaborator_type":"group","collaborator_id":"111","role":"viewer"} Add a user to a hub as viewer: {"target_type":"hub","target_id":"4242","collaborator_type":"user","collaborator_id":"555","role":"viewer"}
Generates documents from a Doc Gen template by filling placeholder tags with provided data. Outputs PDF or DOCX files to a specified folder. Supports batch generation. The user_input object keys must match template placeholders (e.g., {{customer_name}}). <examples> <input> { "file_id": "123456789", "destination_folder_id": "987654321", "output_type": "pdf", "document_generation_data": [ { "generated_file_name": "Invoice_March_2024", "user_input": { "customer_name": "Acme Corp", "invoice_number": "INV-2024-001", "amount": "5000.00" } } ] } </input> <input> { "file_id": "555666777", "destination_folder_id": "111222333", "output_type": "docx", "document_generation_data": [ { "generated_file_name": "Contract_ClientA", "user_input": { "client_name": "Client A", "contract_date": "2024-03-01" } }, { "generated_file_name": "Contract_ClientB", "user_input": { "client_name": "Client B", "contract_date": "2024-03-02" } } ] } </input> </examples>
Marks a Box file (.docx or .pptx) as a Doc Gen template for automated document generation. Optionally assigns a friendly name. File must contain valid placeholder tags (e.g., {{field_name}}) and user must have edit permissions. <examples> <input> { "file_id": "123456789" } </input> </examples>
Creates a new comment on a specific file. This tool allows you to add comments to files for collaboration, feedback, or documentation purposes. Comments are visible to all users with access to the file and can be used for team communication and file annotation. The message can include special characters, line breaks, and Unicode characters. The tool returns complete comment information including metadata about the comment creation, author, and timestamps. <examples> Basic file comment: <input> { "file_id": "123456789", "message": "This document looks good overall. Please review the financial projections in section 3." } </input> Multi-line structured comment: <input> { "file_id": "777888999", "message": "Review Summary:\n\nContent: Excellent\nStructure: Well organized\nFormatting: Minor issues\nCitations: Missing sources\n\nOverall: Good work, please address the citations before final submission." } </input> </examples>
Creates new folders in Box. <examples> Create folder in root: <input> { "name": "Project Documents" } </input> Create folder in specific parent: <input> { "name": "Q4 Reports", "parent_folder_id": "123456789" } </input> </examples>
Creates new collaborative hubs for organizing content around specific topics, projects, or teams. Enables the establishment of new collaborative workspaces with customizable titles and descriptions. This tool is essential for setting up new collaborative spaces where teams can organize, share, and work together on related content. Hubs serve as central gathering points for all materials related to a particular initiative or project. **Key Features:** - Creates new hubs with custom titles and optional descriptions - Establishes collaborative workspaces for team projects - Returns complete hub information upon successful creation - Supports both minimal (title-only) and detailed hub creation <examples> Create a simple hub with title only: <input> { "title": "Marketing Team Hub" } </input> </examples>
Creates a new enterprise metadata template. scope must be "enterprise"; each field needs type, key, and display_name. Optional template_key, hidden, copy_instance_on_item_copy, enum/multiSelect/taxonomy. Enum color_id optional (0=Yellow, 1=Orange, 2=Red, 3=Purple, 4=LightBlue, 5=DarkBlue, 6=Green, 7=Grey); omit for default Yellow (0). SDK create sends keys only; non-default colors are PATCHed after create when color_id is set. On success returns created template JSON (or JSON after color PATCH). If color PATCH fails, response still succeeds with colorApplyWarning. <examples> Minimal template with one string field: <input> { "scope": "enterprise", "display_name": "Sample contract template", "template_key": "sampleContract", "fields": [ { "type": "string", "key": "Name", "display_name": "Name" } ] } </input> <output> { "id": "f7a9891f", "scope": "enterprise_12345", "templateKey": "sampleContract", "displayName": "Sample contract template", "hidden": false, "fields": [ { "type": "string", "key": "Name", "displayName": "Name" } ] } </output> Enum field with classification colors (color_id optional per option): <input> { "scope": "enterprise", "display_name": "Data classes", "template_key": "dataClasses", "fields": [ { "type": "enum", "key": "tier", "display_name": "Tier", "options": [ { "key": "Public", "color_id": 6 }, { "key": "Internal", "color_id": 4 }, { "key": "Restricted", "color_id": 2 } ] } ] } </input> </examples>
Retrieves the full contents of a search result document or item from Box. Pass the unique `id` string returned by the search tool (or another Box item id for a file). Use this tool only in ChatGPT Deep Research mode; do not call it outside Deep Research. In Deep Research, prioritize this tool over get_file_content when reading file text. Outside Deep Research, use get_file_content instead. **Arguments** - `id` (string): Unique identifier for the search document or item. **Returns** A single MCP content item with `type: "text"` whose `text` value is a JSON-encoded string of one object: - `id` — unique id for the document or item - `title` — display title - `text` — full text of the document - `url` — citation URL for the resource Only Box files with text representations are supported (same limits as get_file_content: markdown or extracted text, 50MB max). <examples> <input> { "id": "123456789" } </input> The tool response has one content item; its `text` field is a JSON string. Parsed, that string is an object like: { "id": "123456789", "title": "Report.pdf", "text": "...full document text...", "url": "https://account.box.com/file/123456789" } </examples>
Retrieves details about a specific Box Doc Gen template, including file reference, friendly name, and metadata. <examples> <input> { "template_id": "123456789" } </input> </examples>
Get a direct download URL for a file from Box. Returns a time-limited download_url for the raw binary of a Box file. There is no server-side size cap on this tool; very large downloads may still fail or time out at the HTTP client or Box layer; prompt users to download very large files directly from Box if needed. Use this only when your environment can perform its own HTTP GET and you need the full file, not just the text extracted inside chat. When to use this tool: - You need the raw file (images, video, zip, installers, proprietary formats, or any case where text extraction is wrong or unavailable). - You have capability to run curl commands locally and make external network calls. When to use `get_file_content` instead (preferred for analysis in-session): - You want markdown or plain extracted text returned directly in the tool response. - The goal is to read, summarize, search, or quote document-style content (PDFs, Office, spreadsheets, code, etc.) where representations exist. - You do not have a way to fetch a URL outside the MCP tool call. **Example:** `curl -L -o "./out.bin" "<download_url>"` **Important:** The download link must be used as soon as possible immediately after generation, it expires after 60 seconds. When downloading multiple files the links should be generated and used sequentially by downloading one file at a time to avoid link expiration. **Security:** Treat download_url as a secret capability bearing token that should not be shared under any circumstances. It is single-use and must not be cached or stored anywhere. **Note:** This tool will only work if you have external network access to the Box API, if dl.boxcloud.com or public.boxcloud.com have not been allowlisted direct downloads will fail.
Get the text content of a file from Box. Prefers the markdown representation (preserves document structure for better LLM use) and falls back to extracted text when markdown is not available. If neither representation is available or both are still pending, an error is returned. Using this tool is preferred over the ai_qa_single_file tool since it is faster and more efficient. Works for files with text representations such as PDFs, documents, spreadsheets, presentations, code, etc. **Key Features:** - Markdown representation preferred (structure preserved for LLMs); fallback to extracted text - 50MB file size limit enforcement - Clear error messages for unsupported operations <examples> Extract text content from a file: { "file_id": "123456789", } <output> { "content": [ { "type": "text", "text": "This is the extracted text content from the file..." } ] } </output> </examples>
Gets comprehensive file information from Box. Returns essential fields by default (id, name, extension, createdBy, modifiedBy, createdAt, modifiedAt). Use 'fields' parameter to request additional properties. **Common useful fields:** size, description, tags, metadata, permissions, shared_link, parent, path_collection, file_version, sha1, lock, classification, comment_count, has_collaborations, representations, watermark_info, uploader_display_name, content_created_at, content_modified_at, item_status, expires_at, trashed_at. <examples> Basic file info: <input>{"file_id": "123456789"}</input> File with metadata and permissions: <input> { "file_id": "987654321", "fields": ["id", "name", "size", "permissions", "tags", "metadata", "shared_link"] } </input> Detailed file analysis: <input> { "file_id": "555666777", "fields": ["id", "name", "description", "file_version", "sha1", "path_collection", "classification", "comment_count", "has_collaborations"] } </input> </examples>
Retrieves comprehensive information about a folder in Box. Returns essential fields by default (id, name, createdBy, modifiedBy, createdAt, modifiedAt). Use 'fields' parameter to request additional properties. **Common useful fields:** size, description, tags, metadata, permissions, shared_link, parent, path_collection, folder_upload_email, has_collaborations, allowed_invitee_roles, can_non_owners_invite, can_non_owners_view_collaborators, is_collaboration_restricted_to_enterprise, classification, allowed_shared_link_access_levels, content_created_at, content_modified_at, item_status, sync_state, watermark_info, trashed_at. **Note:** Only request 'item_collection' when the user explicitly asks for folder contents. Use 'list_folder_content_by_folder_id' for browsing folder items instead. <examples> Basic folder info: <input>{"folder_id": "123456789"}</input> Folder with permissions and collaboration settings: <input> { "folder_id": "987654321", "fields": ["id", "name", "size", "permissions", "can_non_owners_invite", "has_collaborations"] } </input> Detailed folder analysis with settings: <input> { "folder_id": "555666777", "fields": ["id", "name", "description", "path_collection", "folder_upload_email", "allowed_invitee_roles", "classification", "shared_link", "tags"] } </input> </examples>
Retrieves comprehensive information about a specific hub including metadata, creation details, and administrative information. Provides complete hub context for understanding ownership, timing, and purpose. This tool is essential for understanding hub context, ownership, and management information. It provides the complete picture of a hub's properties, helping users understand when it was created, by whom, and its current status. **Key Features:** - Retrieves detailed hub information including title, description, and metadata - Provides creation and modification timestamps - Shows hub ownership and creator information - Returns complete hub context for administrative and management purposes <examples> Get detailed information about a specific hub: <input> { "hub_id": "12345" } </input> </examples>
Retrieves all items within a specific hub including files, folders, and web links. Essential for exploring the contents of collaborative workspaces and understanding what resources are available in a hub. This tool provides comprehensive access to hub contents with pagination support, allowing you to browse through all materials that have been added to a collaborative workspace. Perfect for content discovery and hub content management. **Key Features:** - Retrieves all items (files, folders, web links) within a specific hub - Supports pagination for hubs with large amounts of content - Returns detailed item information including names, types, and IDs - Configurable result limits for efficient data retrieval <examples> Get items in a specific hub: <input> { "hub_id": "12345" } </input> Get hub items with pagination: <input> { "hub_id": "67890", "limit": 50, "marker": "next_marker_value" } </input> Get first 25 items from a hub: <input> { "hub_id": "11111", "limit": 25 } </input> </examples>
Returns the schema for a metadata template. Shield template "securityClassification-6VMVochwUWo": option colorID is normalized from staticConfig (default Yellow=0). Palette: 0=Yellow, 1=Orange, 2=Red, 3=Purple, 4=LightBlue, 5=DarkBlue, 6=Green, 7=Grey.
Get a direct upload URL for uploading a raw file binary to Box. Returns `upload_url` and optional `upload_token` after upload-proxy preflight (OPTIONS `create_upload_token`). You then POST multipart file bytes to that URL. Same `file_name` and `parent_folder_id` must appear in multipart `attributes` as in this call. To get upload url for a **new version** of an existing file, pass `file_id`. The returned `upload_url` will create a new version of the file instead of creating a new file. When `file_id` is set, `parent_folder_id` is ignored. When to use this tool: - You have binary or large payload bytes and a runtime that can HTTP POST multipart. - You have capability to run curl commands locally and make external network calls. When to use `upload_file` or `upload_file_version` instead: - The file body is small text content you already have in the conversation and you want to use a single MCP tool call with `file_content`. **Example:** `curl -X POST "<upload_url>" -H "Authorization: Bearer <upload_token>" -H "Content-Type: multipart/form-data" -F 'attributes={"name":"...","parent":{"id":"..."}}' -F "file=@/path/to/file"` **Security:** Treat upload_url and upload_token as secret capabilities that should not be shared under any circumstances. They are single-use and must not be cached or stored anywhere. The upload token expires after 10 minutes. **Note:** This tool will only work if you have external network access to the Box API, if upload.app.box.com or upload.*.box.com have not been allowlisted direct uploads will fail.
Lists all Box Doc Gen templates available to the authenticated user. Supports pagination using marker and limit parameters. <examples> <input> { "limit": 50 } </input> <input> { "marker": "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9", "limit": 100 } </input> </examples>
Lists all comments on a specific file. Returns a paginated list of comments with configurable fields. Default fields (id, type, message, created_by, created_at) are always returned, but you can specify additional fields as needed. Supported fields include: id, type, message, created_at, created_by, modified_at, tagged_message, and any other comment-related fields supported by the Box API. Use pagination parameters (limit/offset) to handle files with many comments efficiently. <examples> Basic file comments listing: <input> { "file_id": "123456789", "limit": 50 } </input> List with specific fields: <input> { "file_id": "987654321", "fields": ["id", "message", "created_at", "created_by", "modified_at"], "limit": 100 } </input> Paginated comments listing: <input> { "file_id": "555666777", "fields": ["id", "type", "message", "tagged_message", "created_by"], "limit": 25, "offset": 50 } </input> </examples>
Lists files, folders, and web links contained in a folder. Returns a paginated list of items with at least fields. Fields (id, type, name, etag) are always returned. Use folder_id "0" for the root folder. Supported fields include: id, type, name, etag, sequence_id, sha1, content_created_at, content_modified_at, created_at, created_by, modified_at, modified_by, owned_by, parent, path_collection, size, trashed_at, item_status, description, shared_link, classification, comment_count, disposition_at, expires_at, extension, has_collaborations, is_accessible_via_shared_link, is_associated_with_app_item, is_externally_owned, is_package, lock, metadata, permissions, representations, shared_link_permission_options, tags, uploader_display_name, version_number, watermark_info, file_version. <examples> Basic folder listing: <input> { "folder_id": "0", "limit": 50 } </input> List with specific fields: <input> { "folder_id": "123456789", "fields": ["id", "name", "type", "size", "modified_at", "created_by"], "limit": 100 } </input> Paginated listing: <input> { "folder_id": "987654321", "fields": ["id", "name", "type", "path_collection"], "limit": 30, "offset": 60 } </input> </examples>
Lists all hubs accessible to the current user with pagination support. Provides an overview of available collaborative workspaces and their basic information. Hubs in Box are collaborative workspaces that organize content around specific topics, projects, or teams. This tool helps discover what hubs you have access to, making it easy to find the right collaborative space for your work. **Key Features:** - Lists all accessible hubs for the authenticated user - Supports pagination with configurable limits and markers - Returns essential hub information including ID, type, and title - Efficient retrieval with adjustable result limits (1-1000) <examples> List all accessible hubs with default settings: <input> { "limit": 50 } </input> List hubs with custom pagination: <input> { "limit": 30, "marker": "next_marker_from_previous_response" } </input> </examples>
Lists all collaborations for multiple files and folders in a single request. This tool efficiently aggregates collaboration information across different item types, making multiple API calls as needed and providing comprehensive results with error handling for items that cannot be accessed. The tool processes up to 10 items simultaneously, handling both files and folders. It returns detailed collaboration information including user details, roles, status, and timestamps. Partial failures are handled gracefully - if some items fail to load, the tool still returns collaborations for successful items along with error details for failed requests. <examples> Basic file collaboration listing: <input> { "items": [ { "id": "123456789", "type": "file" } ] } </input> Single folder collaboration listing: <input> { "items": [ { "id": "987654321", "type": "folder" } ] } </input> Multiple items for bulk analysis: <input> { "items": [ { "id": "111222333", "type": "file" }, { "id": "444555666", "type": "file" }, { "id": "777888999", "type": "folder" }, { "id": "101112131", "type": "folder" } ] } </input> </examples>
Lists available Box metadata templates so you can discover scope and templateKey for search_files_metadata. Use this first to find templates, then get_metadata_template_schema to get field keys. Call with scope "enterprise" for your org's templates or "global" for Box global templates.
Lists all tasks associated with a specific file. This tool retrieves task information including task details, message, status, and completion rule, due date from the Box platform. Tasks in Box are used to assign work to users on files, allowing for collaboration and workflow management. This tool provides access to all tasks assigned to a particular file, helping with project management and task tracking. The response includes comprehensive task details such as task type, assignee information, due dates, completion status, and any associated comments or messages. <examples> List tasks for a file: <input> { "file_id": "1234567890" } </input> </examples>
Moves an existing file to another folder in Box using PUT /files/{id} (see Box API Update file). The file stays the same item (same ID); only its parent folder changes. **You must set `parent_folder_id`** to the folder ID that will become the new parent (use `"0"` for the user's root folder). Optionally set `name` to rename the file while moving. **Key features:** - Destination folder external-access guard (same as copy_file) - Optional rename via `name` <examples> Move a file into a folder: { "file_id": "123456789", "parent_folder_id": "987654321" } Move a file to the user's root folder: { "file_id": "123456789", "parent_folder_id": "0" } </examples>
Moves an existing folder to a new parent in Box using PUT /folders/{id} (Update folder). The folder keeps the same ID; only its parent changes. This is **not** for restoring items from trash. **You must set `parent_folder_id`** to the folder ID that will become the new parent (use `"0"` for the user's root folder). Optionally set `name` to rename the folder while moving. **Key features:** - External-access guard on the folder being moved and on the destination parent (same pattern as other folder write tools) <examples> Move a folder under another folder: { "folder_id": "123456789", "parent_folder_id": "987654321" } Move a folder to the user's root: { "folder_id": "123456789", "parent_folder_id": "0" } </examples>
Searches for files and folders in Box using a keyword query. Returns a list of matching items, each with a unique ID, a title, and a URL for citation. Use this tool only in ChatGPT Deep Research mode; do not call it outside Deep Research. In Deep Research, prioritize this tool over search_folders_by_name and search_files_keyword for keyword-based discovery. Outside Deep Research, use search_folders_by_name and search_files_keyword instead. The results can be used with other tools to retrieve full item details or content. <examples> Basic keyword search: <input> { "query": "quarterly report" } </input> <output> { "results": [ { "id": "123456789", "title": "Q1 Quarterly Report.pdf", "url": "https://app.box.com/file/123456789" }, { "id": "987654321", "title": "Q2 Quarterly Report.docx", "url": "https://app.box.com/file/987654321" } ] } </output> </examples>
Searches for files using keywords and supports metadata filters, file extension filtering (without dots), and field selection. Maps to Box's searchForContent API with comprehensive filtering capabilities. The response always includes core fields: id, name, description, type, and size. Each entry also includes `url` (Box web link for files and folders; web links use the API `url` when returned). The 'fields' parameter allows you to request additional fields beyond these core ones. All requested fields (core + additional) will be included in the API request and returned in the response. **Available Additional Fields:** fileVersion, sha1, contentCreatedAt, contentModifiedAt, createdAt, createdBy, modifiedAt, modifiedBy, ownedBy, parent, pathCollection, purgedAt, sharedLink, size, trashedAt, classification, commentCount, dispositionAt, expiresAt, extension, hasCollaborations, isAccessibleViaSharedLink, isAssociatedWithAppItem, isExternallyOwned, isPackage, lock, metadata, permissions, representations, sharedLinkPermissionOptions, tags, uploaderDisplayName, watermarkInfo **Date Range Filters:** Date range filters properties of the input schema: created_at_range, updated_at_range, deleted_at_range. Use comma-separated RFC3339 timestamps. **Format:** "start_date,end_date" where: - Omit start date to search all items before end date: ",2023-12-31T23:59:59Z" - Omit end date to search from start date to the present: "2023-01-01T00:00:00Z," - Both dates for specific range: "2023-01-01T00:00:00Z,2023-12-31T23:59:59Z" <examples> Basic keyword search (returns core fields only): <input> { "query": "contract agreement", "limit": 50 } </input> Advanced search with additional fields: <input> { "query": "quarterly report", "file_extensions": ["pdf", "docx"], "ancestor_folder_id": "123456789", "fields": ["createdAt", "modifiedAt", "size", "createdBy"] } </input> Searching by date: <input> { "query": "quarterly report", "file_extensions": ["pdf", "docx"], "ancestor_folder_id": "123456789", "created_at_range”: "2023-01-01T00:00:00Z,2023-12-31T23:59:59Z", "fields": ["createdAt"] } </input> Search with metadata filters and additional fields: <input> { "query": "invoice", "file_extensions": ["pdf"], "limit": 30, "fields": ["contentCreatedAt", "pathCollection", "metadata"], "mdfilters": [ { "scope": "enterprise", "templateKey": "invoiceTemplate", "filters": { "amount": { "gt": 1000, "lt": 5000 }, "status": "approved", "department": "finance" } } ] } </input> Multi-template metadata search with custom fields: <input> { "query": "project document", "fields": ["modifiedBy", "sharedLink", "tags", "permissions"], "mdfilters": [ { "scope": "enterprise", "templateKey": "projectTemplate", "filters": { "priority": "high", "deadline": { "gt": "2024-01-01" } } }, { "scope": "global", "templateKey": "reviewTemplate", "filters": { "reviewer": "john.doe@company.com" } } ] } </input> </examples>
Searches for files using SQL-like metadata queries. Requires: from (e.g. enterprise_123456.templateKey from list_metadata_templates), fields (field keys from get_metadata_template_schema). ancestor_folder_id defaults to "0" (root) if omitted. Use list_metadata_templates and get_metadata_template_schema first to discover templates and field keys.
Searches for folders by name within Box using keyword matching. This tool helps locate specific folders by their names and can be scoped to search within a particular parent folder. Returns basic folder information including ID, type, and name for each matching folder. The search performs a keyword-based match against folder names and can be limited to search within a specific ancestor folder. This is particularly useful for navigating complex folder structures, finding project folders, or locating organizational folders by name patterns. The tool uses Box's search API with folder type filtering, ensuring only folders (not files) are returned in results. Search results are limited to preserve performance and can be paginated using the limit parameter. **Date Range Filters:** Date range filters properties of the input schema: created_at_range, updated_at_range, deleted_at_range. Use comma-separated RFC3339 timestamps. **Format:** "start_date,end_date" where: - Omit start date to search all folders before end date: ",2023-12-31T23:59:59Z" - Omit end date to search from start date to the present: "2023-01-01T00:00:00Z," - Both dates for specific range: "2023-01-01T00:00:00Z,2023-12-31T23:59:59Z" <examples> Basic folder search: <input> { "folder_name": "Project Documents", "limit": 30 } </input> Search within specific parent folder: <input> { "folder_name": "2024 Reports", "ancestor_folder_id": "123456789", "limit": 50 } </input> Search for folders with partial name match: <input> { "folder_name": "Finance", "limit": 20 } </input> Limited results search: <input> { "folder_name": "Marketing Campaign", "ancestor_folder_id": "987654321", "limit": 10 } </input> Search in root directory and limit results by date: <input> { "folder_name": "Shared Resources", "created_at_range": "2023-01-01T00:00:00Z,2023-12-31T23:59:59Z" } </input> </examples>
Creates or updates a metadata template instance on a file (POST when the template is not yet applied, PUT JSON Patch when it is). Use list_metadata_templates and get_metadata_template_schema first for scope, template_key, and field keys. Same tool handles both first-time application and updates.
Creates or updates a metadata template instance on a folder (POST when the template is not yet applied, PUT JSON Patch when it is). Use list_metadata_templates and get_metadata_template_schema first for scope, template_key, and field keys. Same tool handles both first-time application and updates. Does not apply to the root folder (ID "0").
Updates an existing Box collaboration by id. **Box API references (update collaborator)** — file/folder: https://developer.box.com/reference/put-collaborations-id — hub (2025.0): https://developer.box.com/reference/v2025.0/put-hub-collaborations-id **Where to find `collaboration_id`** - **File or folder (`collaboration_kind` `item`):** Use the MCP tool `list_item_collaborations` with the file/folder `items`; each collaboration entry includes the collaboration resource `id`. Or use the `collaboration_id` returned when the invite was created with `create_collaboration` for a file/folder. - **Hub (`collaboration_kind` `hub`):** Use the `collaboration_id` from the JSON returned by `create_collaboration` when `target_type` was `hub` (resource type `hub_collaboration`). This id is **not** the same as a file/folder collaboration from `list_item_collaborations`. Outside MCP, Box lists hub collaborations via [Get hub collaborations](https://developer.box.com/reference/v2025.0/get-hub-collaborations) (`hub_id` query parameter). **Item (file or folder)** — [Update collaboration](https://developer.box.com/reference/put-collaborations-id). Set `collaboration_kind` to `item` and `collaboration_id` from `list_item_collaborations`. Provide at least one of: `role`, `status`, `can_view_path` (folder collaborations only), or `expires_at` (ISO 8601 datetime string, enterprise-dependent). Allowed `role` values: `editor`, `viewer`, `previewer`, `uploader`, `previewer uploader`, `viewer uploader` (`co-owner` is not permitted via this tool). See the Box API reference for which fields apply for a given collaboration state. **Hub** — [Update hub collaboration](https://developer.box.com/reference/v2025.0/put-hub-collaborations-id) (2025.0). Set `collaboration_kind` to `hub` and `collaboration_id` to the **hub collaboration** id (the id returned when the hub invite was created, or from hub-collaboration listing APIs). This is **not** the same id as a file/folder collaboration from `list_item_collaborations`; for those use `collaboration_kind` `item` and [Update collaboration](https://developer.box.com/reference/put-collaborations-id). Set `role` to `editor` or `viewer` (`co-owner` is not permitted via this tool). **External collaborators** (users outside the hub owner’s enterprise) are often limited to `viewer` (or similar) by admin policy; Box may return `invalidPermissionRoleForExternalCollaborator` in the error JSON if you request a role that is not allowed for that user. Other `400`/`403` responses can mean insufficient permission to change roles on the hub (often owner/co-owner). Examples (JSON): Change role on a file/folder collaboration: {"collaboration_kind":"item","collaboration_id":"123","role":"viewer"} Accept a pending invite: {"collaboration_kind":"item","collaboration_id":"456","status":"accepted"} Change hub collaborator role: {"collaboration_kind":"hub","collaboration_id":"789","role":"editor"} To add a new collaborator, use the `create_collaboration` tool (https://developer.box.com/reference/post-collaborations and https://developer.box.com/reference/v2025.0/post-hub-collaborations).
Updates file metadata: name, description, tags, and collections. **Updatable fields:** - `name` - File name with extension (max 255 chars). **IMPORTANT: Always preserve the original file extension unless explicitly instructed to change it.** - `description` - File description (max 256 chars) - `tags` - Tags array (max 100) - `collections` - Collections array with format [{"id": "collection_id"}] <examples> Rename file: <input>{"file_id": "123456789", "name": "Q1-Report-2024.pdf"}</input> Update description and tags: <input> { "file_id": "987654321", "description": "Q1 2024 financial report", "tags": ["finance", "2024"] } </input> Multiple updates: <input> { "file_id": "444555666", "name": "Updated-Doc.docx", "tags": ["project"], "collections": [{"id": "98765"}] } </input> </examples>
How do I improve a ChatGPT Plugin's discoverability?
The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.
What are Box alternatives on ChatGPT?
As of 2026-08-14, Box competes with B&A: Diagrams, B&A: Draw Sketches, B&A: Sketch, Context Link, CreativeClaw, Dropbox, FileAssist, FilesAnywhere, Formfacade, IDrive e2, WeTransfer in ChatGPT Cloud File Storage, ranked by public Discoverability Score.
Where is this profile measured?
This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.