stop_autonomous_work · AI Collaboration MCP Server MCP

WHAT IT DOES

What stop_autonomous_work does on AI Collaboration MCP Server

AI agents invoke stop_autonomous_work to trigger actions in AI Collaboration 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 stop_autonomous_work needs a policy

stop_autonomous_work triggers real processes with real consequences. An agent gone sideways doesn't fire it once — it starts dozens of builds, sends mass notifications, or burns through compute before anyone looks up.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

stop_autonomous_work Rate-limited

stop_autonomous_work 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": {
    "stop_autonomous_work": {
      "limits": [
        {
          "counter": "stop_autonomous_work_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 AI Collaboration MCP Server, so you can run agents against it safely.

FAQ

Questions about stop_autonomous_work

What does the stop_autonomous_work tool do? +

Stop autonomous work mode. It is categorised as a Execute tool in the AI Collaboration 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 stop_autonomous_work? +

Register the AI Collaboration MCP Server MCP server in PolicyLayer and add a rule for stop_autonomous_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 AI Collaboration MCP Server. Nothing to install.

What risk level is stop_autonomous_work? +

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

Can I rate-limit stop_autonomous_work? +

Yes. Add a rate_limit block to the stop_autonomous_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 stop_autonomous_work completely? +

Set action: deny in the PolicyLayer policy for stop_autonomous_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 stop_autonomous_work? +

stop_autonomous_work is provided by the AI Collaboration MCP Server MCP server (wyn0001/ai-collab-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.