suggest_symbol_names

THE RISK

Low Risk

Why suggest_symbol_names needs a policy

This tool queries and analyzes binary code to infer naming patterns, producing informational output. It does not modify binaries, execute code, delete data, or interact with external systems. While it runs within Ghidra's reverse-engineering framework, suggesting names is a read-only analysis task analogous to search or inspection. No side effects or irreversible actions occur.

From the tool's definition Tool description states it 'suggest[s]' names based on analysis of 'usage patterns, string references, and API calls'—a passive analytical operation with no modification of binaries or external systems.

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

POLICY

How to control suggest_symbol_names

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 suggest_symbol_names:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "suggest_symbol_names": {}
  }
}

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

Create a free account and register Kawaiidra MCP — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

CAP THIS TOOL →

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EXPLORE

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
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FAQ

Questions about suggest_symbol_names

What does the suggest_symbol_names tool do? +

Suggest better variable and function names based on usage patterns, string references, and API calls. 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 suggest_symbol_names? +

Register the Kawaiidra MCP server in PolicyLayer and add a rule for suggest_symbol_names: 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 suggest_symbol_names? +

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

Can I rate-limit suggest_symbol_names? +

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

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

suggest_symbol_names 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.

CHECK YOUR STACK →