Delete a time entry permanently.
AI agents call toggl_delete_time_entry to permanently remove resources in Tempus MCP — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
The tool performs a permanent deletion operation that cannot be undone. Deletion of time entries represents irreversible data loss, which qualifies as Destructive rather than Write (reversible modification).
From the tool's definition Tool name 'toggl_delete_time_entry' combined with description 'Delete a time entry permanently' explicitly indicates irreversible deletion of data.
Attacks that exploit this kind of access
Delete a time entry permanently. It is categorised as a Destructive tool in the Tempus MCP MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Tempus MCP server in PolicyLayer and add a rule for toggl_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 Tempus MCP. Nothing to install.
toggl_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 toggl_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 toggl_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.
toggl_delete_time_entry is provided by the Tempus MCP server (kos-m/tempus-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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