Low Risk

find_similar_functions

find_similar_functions

How to control find_similar_functions ↓

What find_similar_functions does on Binary MCP Server

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

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Why find_similar_functions needs a policy

The tool appears to search or identify functions with similar characteristics in binaries—a passive analysis operation with no side effects. While the description is uninformative (which slightly lowers confidence), the naming pattern and context among sibling read-only analysis tools strongly suggest this is a Read operation that retrieves or compares function metadata without modifying binaries or executing code.

From the tool's definition Tool name is 'find_similar_functions' and belongs to a binary analysis server alongside tools like 'analyze_api_call_chains', 'analyze_control_flow', 'batch_decompile', and 'compute_similarity_hashes'.

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 Binary MCP Server, 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 Binary MCP Server — 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 find_similar_functions

What does the find_similar_functions tool do? +

find_similar_functions. It is categorised as a Read tool in the Binary MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on find_similar_functions? +

Register the Binary MCP Server 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 Binary MCP Server. 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 Binary MCP Server MCP server (sarks0/binary-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Binary MCP Server tool call.

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

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59 Binary MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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