High Risk →

stop

Stop the current debug target and clear the debug session.

How to control stop ↓

What stop does on Mcp Debugger Node

AI agents invoke stop to trigger actions in Mcp Debugger Node. 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.

High Risk

Why stop needs a policy

Although 'stop' does not delete persistent data, it terminates an active external process and clears session state, making it an Execute-category action. The severity is high because stopping a debug target could interrupt critical application execution or debugging workflows, with moderate blast radius if invoked by a misaligned agent.

From the tool's definition Tool 'stop' stops the current debug target and clears the debug session. This terminates an external process (Node.js debugger) and modifies the debug state irreversibly for that session.

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

How to control stop

PolicyLayer is an MCP gateway — it sits between your AI agents and Mcp Debugger Node, and nothing reaches the server without passing your rules. This is the rule we recommend for stop:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "stop": {
      "limits": [
        {
          "counter": "stop_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

stop 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.

  1. Create a free account and register Mcp Debugger Node — 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.
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Related tools and policies

Go deeper

Questions about stop

What does the stop tool do? +

Stop the current debug target and clear the debug session. It is categorised as a Execute tool in the Mcp Debugger Node 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? +

Register the Mcp Debugger Node MCP server in PolicyLayer and add a rule for stop: 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 Mcp Debugger Node. Nothing to install.

What risk level is stop? +

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

Can I rate-limit stop? +

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

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

stop is provided by the Mcp Debugger Node MCP server (mohammed-almassri/mcp-debugger-node). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Mcp Debugger Node tool call.

Start from Mcp Debugger Node, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

11 Mcp Debugger Node tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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