Analyze code quality, structure, dead code, and configuration issues
AI agents call analyze_code to retrieve information from Tree-Sitter MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and reports information about code without executing it, modifying it, or causing side effects. It is a static analysis tool that reads code and returns insights, making it a Read category tool. The severity is low because analysis outputs cannot be misused by an AI agent to cause harm — at worst, an agent might receive misleading analysis, but no actual system damage occurs.
From the tool's definition The tool 'analyze_code' performs analysis with outputs like 'code quality, structure, dead code, and configuration issues' — all informational read operations with no modification, deletion, or execution of code.
Documented attack patterns abuse exactly the kind of access analyze_code gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Tree-Sitter MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for analyze_code:
{
"version": "1",
"default": "deny",
"tools": {
"analyze_code": {}
}
}analyze_code is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Analyze code quality, structure, dead code, and configuration issues. It is categorised as a Read tool in the Tree-Sitter MCP MCP Server, which means it retrieves data without modifying state.
Register the Tree-Sitter MCP server in PolicyLayer and add a rule for analyze_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 Tree-Sitter MCP. Nothing to install.
analyze_code 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_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.
Set action: deny in the PolicyLayer policy for analyze_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.
analyze_code is provided by the Tree-Sitter MCP server (nendotools/tree-sitter-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Tree-Sitter 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.
4 Tree-Sitter MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.