create_webhook

create_webhook

Server Clockify Time Tracking pypi:clockify-mcp
Category Write
Risk class Medium
Parameters 00 required

What create_webhook does on Clockify Time Tracking

AI agents use create_webhook to create or update resources in Clockify Time Tracking — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Clockify Time Tracking environment.

Why create_webhook needs a policy

Webhooks are write operations that create new data/configurations. The tool creates (not deletes or modifies existing) webhook configuration, making it Write rather than Read or Destructive. Severity is medium because webhooks could potentially be misconfigured to leak data to unintended endpoints if an agent is manipulated, but the action itself is reversible (webhooks can be deleted).

From the tool's definition Tool name is 'create_webhook' with no description provided. Based on the name alone, this tool creates a webhook, which is a write operation that establishes a new configuration object.

Questions about create_webhook

What does the create_webhook tool do? +

create_webhook. It is categorised as a Write tool in the Clockify Time Tracking MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on create_webhook? +

Register the Clockify Time Tracking MCP server in PolicyLayer and add a rule for create_webhook: 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 create_webhook? +

create_webhook is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit create_webhook? +

Yes. Add a rate_limit block to the create_webhook 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 create_webhook completely? +

Set action: deny in the PolicyLayer policy for create_webhook. 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 create_webhook? +

create_webhook 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.

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