withdraw_time_off_request

Withdraw/cancel a time-off request, deleting it.

Server Clockify Time Tracking pypi:clockify-mcp
Category Destructive
Risk class Critical
Parameters 00 required

What withdraw_time_off_request does on Clockify Time Tracking

AI agents call withdraw_time_off_request to permanently remove resources in Clockify Time Tracking — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.

Why withdraw_time_off_request needs a policy

The tool explicitly deletes the time-off request, making the action irreversible. 'Deleting it' confirms this is a destructive operation that cannot be undone, warranting a high severity rating due to potential impact on employee scheduling and payroll records.

From the tool's definition Withdraw/cancel a time-off request, deleting it.

Questions about withdraw_time_off_request

What does the withdraw_time_off_request tool do? +

Withdraw/cancel a time-off request, deleting it. It is categorised as a Destructive tool in the Clockify Time Tracking MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.

How do I enforce a policy on withdraw_time_off_request? +

Register the Clockify Time Tracking MCP server in PolicyLayer and add a rule for withdraw_time_off_request: 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 Clockify Time Tracking. Nothing to install.

What risk level is withdraw_time_off_request? +

withdraw_time_off_request is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.

Can I rate-limit withdraw_time_off_request? +

Yes. Add a rate_limit block to the withdraw_time_off_request 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.

How do I block withdraw_time_off_request completely? +

Set action: deny in the PolicyLayer policy for withdraw_time_off_request. 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.

What MCP server provides withdraw_time_off_request? +

withdraw_time_off_request is provided by the Clockify Time Tracking MCP server (pypi:clockify-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

// LOOK UP ANOTHER 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.

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.