Summarize a sample of indexed files using the LLM and return results
AI agents call summarize_sample to retrieve information from Code-Index-MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool performs a read operation—it queries indexed files and returns LLM-generated summaries. There are no side effects on the codebase or index. The AI agent cannot cause harm by misusing this tool beyond potential rate-limiting or resource consumption, which poses minimal risk.
From the tool's definition Tool retrieves and summarizes indexed files without modifying or deleting data. Description states 'return results' with no indication of data mutation, deletion, or code execution.
Documented attack patterns abuse exactly the kind of access summarize_sample gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Code-Index-MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for summarize_sample:
{
"version": "1",
"default": "deny",
"tools": {
"summarize_sample": {}
}
}summarize_sample is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Summarize a sample of indexed files using the LLM and return results. It is categorised as a Read tool in the Code-Index-MCP MCP Server, which means it retrieves data without modifying state.
Register the Code-Index- MCP server in PolicyLayer and add a rule for summarize_sample: 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 Code-Index-MCP. Nothing to install.
summarize_sample 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 summarize_sample 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 summarize_sample. 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.
summarize_sample is provided by the Code-Index- MCP server (viperjuice/code-index-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 8 Code-Index-MCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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8 Code-Index-MCP tools catalogued and risk-classified — across an index of 42,500+ MCP servers.