AI agents call explain_code to retrieve information from Proxima without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Code explanation is a non-mutating inspection operation. While the empty description reduces confidence, the tool name and context within a suite of analysis/search tools (ask_*, analyze_*, academic_search) suggest this retrieves and explains existing code without modifying state, executing arbitrary commands, or causing side effects. Classified as Read with medium confidence due to lack of explicit description.
From the tool's definition Tool name 'explain_code' suggests analyzing or querying code for understanding. The empty description limits precision, but the naming pattern and sibling tools (analyze_document, analyze_file) indicate read-only analysis operations.
Documented attack patterns abuse exactly the kind of access explain_code gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Proxima, and nothing reaches the server without passing your rules. This is the rule we recommend for explain_code:
{
"version": "1",
"default": "deny",
"tools": {
"explain_code": {}
}
} explain_code is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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explain_code. It is categorised as a Read tool in the Proxima MCP Server, which means it retrieves data without modifying state.
Register the Proxima MCP server in PolicyLayer and add a rule for explain_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 Proxima. Nothing to install.
explain_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 explain_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 explain_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.
explain_code is provided by the Proxima MCP server (zen4-bit/proxima). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 50 Proxima tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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50 Proxima tools catalogued and risk-classified — across an index of 42,500+ MCP servers.