Low Risk

find_dead_code

Find functions, methods, and classes that are never called by anything in the graph. Useful before refactors or cleanups. Common entry-point patterns (main, init, onX, handleX, etc.) are filtered out by default.

How to control find_dead_code ↓

What find_dead_code does on GraphHub

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

Low Risk

Why find_dead_code needs a policy

This is a pure analysis tool that queries the knowledge graph to identify unreachable code patterns. It retrieves and reports information without creating, modifying, deleting, or executing any code. The filtering of entry-point patterns is a display/presentation concern, not a state-altering operation.

From the tool's definition The tool 'find_dead_code' analyzes a codebase graph to identify unused functions, methods, and classes. The description explicitly states it finds code that is 'never called,' indicating it performs analysis and retrieval without modifying or executing…

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

How to control find_dead_code

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

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

find_dead_code 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 GraphHub — 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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Questions about find_dead_code

What does the find_dead_code tool do? +

Find functions, methods, and classes that are never called by anything in the graph. Useful before refactors or cleanups. Common entry-point patterns (main, init, onX, handleX, etc.) are filtered out by default. It is categorised as a Read tool in the GraphHub MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on find_dead_code? +

Register the GraphHub MCP server in PolicyLayer and add a rule for find_dead_code: 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 GraphHub. Nothing to install.

What risk level is find_dead_code? +

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

Can I rate-limit find_dead_code? +

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

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

find_dead_code is provided by the GraphHub MCP server (slnquangtran/graph-hub). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every GraphHub tool call.

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

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