create_assignment · Clockify Time Tracking MCP

WHAT IT DOES

What create_assignment does on Clockify Time Tracking

AI agents use create_assignment 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 IT NEEDS A POLICY

Why create_assignment needs a policy

Creating an assignment in a time-tracking system modifies data reversibly by adding a new resource mapping (likely linking a user to a project). This is consistent with other Write operations on the server (create_client, create_expense). Severity is medium because misuse could create incorrect assignments affecting payroll or project tracking, but the action is reversible.

From the tool's definition Tool name 'create_assignment' indicates creation of a new resource. The Clockify server manages time-tracking data including projects and assignments. Empty description limits precision, but the 'create' verb establishes this as a write operation.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

create_assignment Rate-limited

create_assignment stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "create_assignment": {
      "limits": [
        {
          "counter": "create_assignment_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Clockify Time Tracking, so you can run agents against it safely.

FAQ

Questions about create_assignment

What does the create_assignment tool do? +

create_assignment. 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_assignment? +

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

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

Can I rate-limit create_assignment? +

Yes. Add a rate_limit block to the create_assignment 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_assignment completely? +

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

create_assignment 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.