Gets task details by taskId (automatically handles both regular and custom IDs) or taskName. For taskName search, provide listName for faster lookup. Set subtasks=true to include all subtask details.
AI agents call get_task 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 retrieves task information from ClickUp without modifying, executing external operations, or deleting data. It is a straightforward data query operation with minimal blast radius if misused by an AI agent—the worst outcome would be unauthorized information disclosure of task details already accessible to the authenticated user.
From the tool's definition Tool description states 'Gets task details' which is a retrieval operation with 'no side effects' per the Read category definition. The parameters (taskId, taskName, listName, subtasks) are all query/filter parameters used to fetch data.
Attacks that exploit this kind of access
Gets task details by taskId (automatically handles both regular and custom IDs) or taskName. For taskName search, provide listName for faster lookup. Set subtasks=true to include all subtask details. 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 get_task: 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.
get_task 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 get_task 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 get_task. 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.
get_task 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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