start_cc_task_async | PolicyLayer

WHAT IT DOES

What start_cc_task_async does on Claude Code Multi-Process MCP Server

AI agents invoke start_cc_task_async to trigger actions in Claude Code Multi-Process MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why start_cc_task_async needs a policy

This tool starts execution of Claude Code tasks in the background. Code execution is inherently an Execute category action—the effects depend entirely on what code the AI agent provides as arguments. While not destructive by design, the severity is high because arbitrary code execution can access files, make network calls, consume resources, or perform other side effects.

From the tool's definition Tool name 'start_cc_task_async' and description '异步启动Claude Code任务' (asynchronously start Claude Code task) indicate execution of code.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

start_cc_task_async Rate-limited

start_cc_task_async stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "start_cc_task_async": {
      "limits": [
        {
          "counter": "start_cc_task_async_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Claude Code Multi-Process MCP Server, so you can run agents against it safely.

FAQ

Questions about start_cc_task_async

What does the start_cc_task_async tool do? +

异步启动Claude Code任务. It is categorised as a Execute tool in the Claude Code Multi-Process MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on start_cc_task_async? +

Register the Claude Code Multi-Process MCP Server MCP server in PolicyLayer and add a rule for start_cc_task_async: 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 Claude Code Multi-Process MCP Server. Nothing to install.

What risk level is start_cc_task_async? +

start_cc_task_async is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit start_cc_task_async? +

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

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

start_cc_task_async is provided by the Claude Code Multi-Process MCP Server MCP server (l-x-c/cc-multi-process-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.