Search for code using natural language queries to find functionality by meaning rather than syntax
AI agents call semantic_search to retrieve information from CodeRAG without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries information from the codebase knowledge graph based on semantic meaning. It has no side effects—it does not create, modify, delete, or execute code. The operation is read-only, similar to a search or query function. The blast radius of misuse is minimal since the tool cannot alter state or trigger external operations.
From the tool's definition Tool performs semantic search to 'find functionality' using 'natural language queries' without modifying any data in the knowledge graph.
Documented attack patterns abuse exactly the kind of access semantic_search gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and CodeRAG, and nothing reaches the server without passing your rules. This is the rule we recommend for semantic_search:
{
"version": "1",
"default": "deny",
"tools": {
"semantic_search": {}
}
} semantic_search is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Search for code using natural language queries to find functionality by meaning rather than syntax. It is categorised as a Read tool in the CodeRAG MCP Server, which means it retrieves data without modifying state.
Register the CodeRAG MCP server in PolicyLayer and add a rule for semantic_search: 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 CodeRAG. Nothing to install.
semantic_search 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 semantic_search 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 semantic_search. 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.
semantic_search is provided by the CodeRAG MCP server (jonnoc/coderag). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from CodeRAG, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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38 CodeRAG tools catalogued and risk-classified — across an index of 43,000+ MCP servers.