Medium Risk

complete_task

Mark a task as completed. Requires both task ID and project ID. Updates the task

How to control complete_task ↓

AI agents use complete_task to create or update resources in TickTick/Dida365 MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your TickTick/Dida365 MCP Server environment.

Medium Risk

Completing a task modifies task data (status/completion flag) but is reversible—a task can be marked incomplete again. This is a state change rather than deletion or destruction. While it affects task management workflow, the impact is localized to a single task's status and can be undone, placing it in the Write category rather than Destructive.

From the tool's definition Tool description states 'Mark a task as completed' and 'Updates the task', indicating reversible modification of task state.

Documented attack patterns abuse exactly the kind of access complete_task gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and TickTick/Dida365 MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for complete_task:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "complete_task": {
      "limits": [
        {
          "counter": "complete_task_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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.

  1. Create a free account and register TickTick/Dida365 MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
LIMIT THIS TOOL →

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Go deeper

What does the complete_task tool do? +

Mark a task as completed. Requires both task ID and project ID. Updates the task. It is categorised as a Write tool in the TickTick/Dida365 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 TickTick/Dida365 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 TickTick/Dida365 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 TickTick/Dida365 MCP Server MCP server (zh1754629545/dida365-mcp-servers). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every TickTick/Dida365 MCP Server tool call.

Deterministic rules across all 11 TickTick/Dida365 MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

11 TickTick/Dida365 MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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