explain_recommendation

Get a detailed explanation of why specific technologies were recommended.

Server Vibe Stack MCP memextech/vibe-plan-mcp
Category Read
Risk class Low
Parameters 00 required

What explain_recommendation does on Vibe Stack MCP

AI agents call explain_recommendation to retrieve information from Vibe Stack MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why explain_recommendation needs a policy

This tool performs a read-only query operation that returns explanatory information about previously generated stack recommendations. It has no side effects, does not execute code, does not modify data, and does not involve financial transactions. The blast radius of misuse is minimal—an AI agent cannot cause harm by requesting explanations, only wasting compute resources or producing verbose outputs.

From the tool's definition Tool name is 'explain_recommendation' and description states it 'Get[s] a detailed explanation of why specific technologies were recommended.' This retrieves and queries existing recommendation data without modifying, deleting, or executing any operations.

Questions about explain_recommendation

What does the explain_recommendation tool do? +

Get a detailed explanation of why specific technologies were recommended. It is categorised as a Read tool in the Vibe Stack MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on explain_recommendation? +

Register the Vibe Stack MCP server in PolicyLayer and add a rule for explain_recommendation: 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 Vibe Stack MCP. Nothing to install.

What risk level is explain_recommendation? +

explain_recommendation is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit explain_recommendation? +

Yes. Add a rate_limit block to the explain_recommendation 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.

How do I block explain_recommendation completely? +

Set action: deny in the PolicyLayer policy for explain_recommendation. 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.

What MCP server provides explain_recommendation? +

explain_recommendation is provided by the Vibe Stack MCP server (memextech/vibe-plan-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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