AI agents call analyze_function_completeness 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.
The tool appears to perform static analysis of function properties in binaries using Ghidra/x64dbg/WinDbg/ILSpyCmd, similar to other analysis tools on the server. Tool name and context suggest inspection and querying of binary structure rather than modification, execution, or deletion. However, confidence is reduced to 0.75 due to empty description—actual behavior depends on implementation details not provided.
From the tool's definition Tool name 'analyze_function_completeness' and sibling context (analyze_api_call_chains, analyze_control_flow, analyze_dotnet, compute_similarity_hashes, decompile_*) indicate code analysis and inspection operations.
Documented attack patterns abuse exactly the kind of access analyze_function_completeness gives an agent:
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 analyze_function_completeness:
{
"version": "1",
"default": "deny",
"tools": {
"analyze_function_completeness": {}
}
}analyze_function_completeness is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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analyze_function_completeness. It is categorised as a Read tool in the Binary MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Binary MCP Server MCP server in PolicyLayer and add a rule for analyze_function_completeness: 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.
analyze_function_completeness is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the analyze_function_completeness 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.
Set action: deny in the PolicyLayer policy for analyze_function_completeness. 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.
analyze_function_completeness 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.
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.