Gets all time entries for a task with filtering options. Use taskId (preferred) or taskName + optional listName. Returns all tracked time with user info, descriptions, tags, start/end times, and durations.
AI agents call get_task_time_entries 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 and queries time entry data associated with a task. It performs a read-only operation that returns information (user info, descriptions, tags, start/end times, durations) without creating, modifying, deleting, or executing any actions. The 'filtering options' mentioned are query parameters, not side-effecting operations. This clearly fits the Read category.
From the tool's definition Tool name 'get_task_time_entries' and description 'Gets all time entries for a task' with 'Returns all tracked time' indicate retrieval of existing data with no modification or side effects.
Attacks that exploit this kind of access
Gets all time entries for a task with filtering options. Use taskId (preferred) or taskName + optional listName. Returns all tracked time with user info, descriptions, tags, start/end times, and durations. 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_time_entries: 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_time_entries 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_time_entries 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_time_entries. 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_time_entries 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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