Low Risk

find_similar_functions

Find functions similar to a reference function based on structure, instructions, and patterns.

How to control find_similar_functions ↓

What find_similar_functions does on Kawaiidra MCP

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

Low Risk

Why find_similar_functions needs a policy

This tool performs pattern matching and structural analysis on already-loaded binary data within Ghidra. It returns analytical results (similar functions) without creating, modifying, deleting, or executing code. The operation is read-only introspection of binary properties.

From the tool's definition Tool description states 'Find functions similar to a reference function based on structure, instructions, and patterns' - this is a query/search operation that retrieves or analyzes existing binary data without modifying, executing, or deleting anything.

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

How to control find_similar_functions

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

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

find_similar_functions 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 Kawaiidra MCP — 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.
CAP THIS TOOL →

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Related tools and policies

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Questions about find_similar_functions

What does the find_similar_functions tool do? +

Find functions similar to a reference function based on structure, instructions, and patterns. It is categorised as a Read tool in the Kawaiidra MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on find_similar_functions? +

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

What risk level is find_similar_functions? +

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

Can I rate-limit find_similar_functions? +

Yes. Add a rate_limit block to the find_similar_functions 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_similar_functions completely? +

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

find_similar_functions is provided by the Kawaiidra MCP server (wagonbomb/kawaiidra-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Kawaiidra MCP tool call.

Start from Kawaiidra MCP, 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.

94 Kawaiidra MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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