Low Risk

debug_code_tool

Detect bugs and logical errors in the provided code.

How to control debug_code_tool ↓

What debug_code_tool does on FastMCP Boilerplate

AI agents call debug_code_tool to retrieve information from FastMCP Boilerplate without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why debug_code_tool needs a policy

The tool analyzes code to identify bugs and logical errors. This is a read/analysis operation with no side effects — it does not execute code, modify files, or write any data. It only inspects and reports findings on the provided code.

From the tool's definition "Detect bugs and logical errors in the provided code"

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

How to control debug_code_tool

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

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "debug_code_tool": {}
  }
}

debug_code_tool is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register FastMCP Boilerplate — 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

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Questions about debug_code_tool

What does the debug_code_tool tool do? +

Detect bugs and logical errors in the provided code. It is categorised as a Read tool in the FastMCP Boilerplate MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on debug_code_tool? +

Register the FastMCP Boilerplate MCP server in PolicyLayer and add a rule for debug_code_tool: 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 FastMCP Boilerplate. Nothing to install.

What risk level is debug_code_tool? +

debug_code_tool is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit debug_code_tool? +

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

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

debug_code_tool is provided by the FastMCP Boilerplate MCP server (rainer85ah/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every FastMCP Boilerplate tool call.

Start from FastMCP Boilerplate, 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.

16 FastMCP Boilerplate tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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