complete_task · Dooist MCP: Risk & Policy

WHAT IT DOES

What complete_task does on Dooist

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

WHY IT NEEDS A POLICY

Why complete_task needs a policy

This is a Write operation because it updates task state reversibly—the task can be reopened (as evidenced by the sibling 'reopen_task' tool), so the change is not permanent or destructive. The severity is medium because an AI agent completing tasks without proper authorization or understanding could cause workflow disruption, but the impact is limited to task status and is recoverable.

From the tool's definition The tool 'complete_task' marks a task as completed, which modifies the state of an existing task record. The description explicitly states it changes task status, making this a data modification operation rather than a read-only query or destructive deletion.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

complete_task Rate-limited

complete_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_task": {
      "limits": [
        {
          "counter": "complete_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 Dooist, so you can run agents against it safely.

FAQ

Questions about complete_task

What does the complete_task tool do? +

Mark a task as completed. It is categorised as a Write tool in the Dooist 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_task? +

Register the Dooist MCP server in PolicyLayer and add a rule for complete_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 Dooist. Nothing to install.

What risk level is complete_task? +

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

Can I rate-limit complete_task? +

Yes. Add a rate_limit block to the complete_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_task completely? +

Set action: deny in the PolicyLayer policy for complete_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_task? +

complete_task is provided by the Dooist MCP server (papermoose/dooist). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.