Return the canonical Entroly file map across the Python, Rust core, and WASM repos. Use this to understand ownership boundaries and where logic currently lives. Supported formats: markdown, json.
AI agents call repo_file_map to retrieve information from Entroly Context Engine 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 structural information about repository organization. It performs no modifications, deletions, or external operations. The worst-case misuse would be information disclosure about codebase structure, a low-risk read operation.
From the tool's definition Tool returns a file map showing ownership boundaries and logic locations; supports output formats (markdown, json) with no side effects. The verbs are 'Return' and 'understand' indicating data retrieval only.
Documented attack patterns abuse exactly the kind of access repo_file_map gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Entroly Context Engine, and nothing reaches the server without passing your rules. This is the rule we recommend for repo_file_map:
{
"version": "1",
"default": "deny",
"tools": {
"repo_file_map": {}
}
}repo_file_map is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Return the canonical Entroly file map across the Python, Rust core, and WASM repos. Use this to understand ownership boundaries and where logic currently lives. Supported formats: markdown, json. It is categorised as a Read tool in the Entroly Context Engine MCP Server, which means it retrieves data without modifying state.
Register the Entroly Context Engine MCP server in PolicyLayer and add a rule for repo_file_map: 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 Entroly Context Engine. Nothing to install.
repo_file_map 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 repo_file_map 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 repo_file_map. 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.
repo_file_map is provided by the Entroly Context Engine MCP server (juyterman1000/entroly). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Entroly Context Engine, 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.
52 Entroly Context Engine tools catalogued and risk-classified — across an index of 43,000+ MCP servers.