complete_a_task · Interview MCP: Risk & Policy

WHAT IT DOES

What complete_a_task does on Interview

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

WHY IT NEEDS A POLICY

Why complete_a_task needs a policy

This tool modifies task state reversibly by changing a task's status to 'complete/terminated'. This is a Write operation because it alters existing data in a way that can be undone (the task can theoretically be reopened or its status changed back). It is not Destructive because the task record persists and the action is reversible.

From the tool's definition Tool description states it can 'Complete, terminate o finalizar una tarea / task' with parameters for task name and list name. The action modifies the status of a task (marking it complete) but does not delete or permanently remove data.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

complete_a_task Rate-limited

complete_a_task 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": {
    "complete_a_task": {
      "limits": [
        {
          "counter": "complete_a_task_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 Interview, so you can run agents against it safely.

FAQ

Questions about complete_a_task

What does the complete_a_task tool do? +

Complete, terminate o finalizar una tarea / task con nombre 'name' en la lista llamada 'listname'. It is categorised as a Write tool in the Interview MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on complete_a_task? +

Register the Interview MCP server in PolicyLayer and add a rule for complete_a_task: 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 Interview. Nothing to install.

What risk level is complete_a_task? +

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

Can I rate-limit complete_a_task? +

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

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

complete_a_task is provided by the Interview MCP server (matilarrazabal/mcp-server-interview). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.