AI agents call search_code_chunks to retrieve information from ContextCore without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and retrieves code chunks from local indexed content. It performs no mutations, deletions, executions, or financial operations. The blast radius of misuse is minimal—an agent could retrieve sensitive code it shouldn't see, but cannot modify, execute, or delete data. The local-first, index-based design further constrains harm to information disclosure within the user's own filesystem.
From the tool's definition Tool name 'search_code_chunks' and description 'Targeted code retrieval tool' indicate data retrieval without modification. The server's purpose is to 'index all your local files' and 'retrieve only relevant chunks', confirming a read-only function.
Documented attack patterns abuse exactly the kind of access search_code_chunks gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and ContextCore, and nothing reaches the server without passing your rules. This is the rule we recommend for search_code_chunks:
{
"version": "1",
"default": "deny",
"tools": {
"search_code_chunks": {}
}
}search_code_chunks is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Targeted code retrieval tool. It is categorised as a Read tool in the ContextCore MCP Server, which means it retrieves data without modifying state.
Register the ContextCore MCP server in PolicyLayer and add a rule for search_code_chunks: 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 ContextCore. Nothing to install.
search_code_chunks 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 search_code_chunks 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 search_code_chunks. 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.
search_code_chunks is provided by the ContextCore MCP server (lucifer-ux/contextcore). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from ContextCore, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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16 ContextCore tools catalogued and risk-classified — across an index of 43,000+ MCP servers.