complete_task_work | PolicyLayer

WHAT IT DOES

What complete_task_work does on Eureka Labo Task Management MCP Server

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

WHY IT NEEDS A POLICY

Why complete_task_work needs a policy

This tool updates task state (marking it as complete) and records git diffs/changes to the task record. These are reversible modifications to data within the task management system. While it interacts with git history, it does not execute arbitrary git commands, delete data, or have external financial impact.

From the tool's definition Tool description states it 'Complete[s] work on a task' and 'Captures all git changes since work started and logs them to the task' — this modifies task state and records git change metadata.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

complete_task_work Rate-limited

complete_task_work 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_work": {
      "limits": [
        {
          "counter": "complete_task_work_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 Eureka Labo Task Management MCP Server, so you can run agents against it safely.

FAQ

Questions about complete_task_work

What does the complete_task_work tool do? +

Complete work on a task. Captures all git changes since work started and logs them to the task. It is categorised as a Write tool in the Eureka Labo Task Management 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_work? +

Register the Eureka Labo Task Management MCP Server MCP server in PolicyLayer and add a rule for complete_task_work: 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 Eureka Labo Task Management MCP Server. Nothing to install.

What risk level is complete_task_work? +

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

Can I rate-limit complete_task_work? +

Yes. Add a rate_limit block to the complete_task_work 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_work completely? +

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

complete_task_work is provided by the Eureka Labo Task Management MCP Server MCP server (mazemaze/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.