List and discover ClickUp documents with flexible filtering. DISCOVERY MODES: - No parameters: List all documents in workspace - By container: parent_id + parent_type to list from specific space/folder/list - By creator: creator ID to find documents by specific user - By status: Filter deleted, a...
AI agents call list_documents to retrieve information from ClickUp MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool only retrieves and queries document metadata with no side effects. The filtering options (parent_id, parent_type, creator, deleted, archived, id) are all read-only discovery mechanisms. There is no capability to create, modify, delete, or execute operations on documents—only to list and filter them. This is a classic Read category tool with minimal risk if misused by an AI agent.
From the tool's definition Tool description states "List and discover ClickUp documents with flexible filtering" and all parameters are filter/discovery options (parent_id, creator, deleted status, archived status).
Risk signalsBulk/mass operation — affects multiple targets
Attacks that exploit this kind of access
List and discover ClickUp documents with flexible filtering. DISCOVERY MODES: - No parameters: List all documents in workspace - By container: parent_id + parent_type to list from specific space/folder/list - By creator: creator ID to find documents by specific user - By status: Filter deleted, archived documents FILTERING OPTIONS: - parent_id: Space, folder, or list ID - parent_type: TASK, SPACE, FOLDER, LIST, EVERYTHING, WORKSPACE - creator: User ID to filter by document creator - deleted: Include/exclude deleted documents - archived: Include/exclude archived documents - id: Filter by specific document ID - limit: Maximum results (default varies by parent type) - next_cursor: Pagination cursor for large result sets DETAIL LEVELS: - minimal: id, name, url only - standard: adds parent, created, updated, creator (default) - detailed: all fields including type, public status, and full parent info. It is categorised as a Read tool in the ClickUp MCP MCP Server, which means it retrieves data without modifying state.
Register the ClickUp MCP server in PolicyLayer and add a rule for list_documents: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches ClickUp MCP. Nothing to install.
list_documents is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the list_documents rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for list_documents. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
list_documents is provided by the ClickUp MCP server (twofeetup/clickup-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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