Deletes a time entry. Required: time entry ID.
AI agents call delete_time_entry to permanently remove resources in ClickUp MCP — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
This tool performs an irreversible delete operation on a time entry record. While the blast radius is contained (a single time entry rather than bulk deletion), the action cannot be undone and results in permanent data loss.
From the tool's definition Tool name 'delete_time_entry' and description 'Deletes a time entry' explicitly indicate irreversible deletion of a data record.
Attacks that exploit this kind of access
Deletes a time entry. Required: time entry ID. It is categorised as a Destructive tool in the ClickUp MCP MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the ClickUp MCP server in PolicyLayer and add a rule for delete_time_entry: 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.
delete_time_entry is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the delete_time_entry 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 delete_time_entry. 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.
delete_time_entry 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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