complete_task · Todoist MCP Server MCP: Risk & Policy

WHAT IT DOES

What complete_task does on Todoist MCP Server

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

WHY IT NEEDS A POLICY

Why complete_task needs a policy

This tool updates task data (completion status) but does not permanently delete or destroy information. The modification is reversible and represents a typical write operation in task management. While it affects task state, the low blast radius (limited to marking a single task complete, affecting only the user's task list) and reversibility justify 'low' severity.

From the tool's definition Tool description explicitly states 'Mark a task as complete', which modifies task state (completion status) reversibly. For recurring tasks, it completes only the current occurrence, preserving future instances.

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 Todoist MCP Server, so you can run agents against it safely.

FAQ

Questions about complete_task

What does the complete_task tool do? +

Mark a task as complete. For recurring tasks, this completes the current occurrence. It is categorised as a Write tool in the Todoist MCP Server 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 Todoist MCP Server 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 Todoist MCP Server. 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 Todoist MCP Server MCP server (rauf543/todoist-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.