recommend_model

Get the single best-fit LLM for a task, with pricing and reasoning.

Server Whichmodel-mcp which-model/whichmodel-mcp
Category Read
Risk class Low
Parameters 00 required

What recommend_model does on Whichmodel-mcp

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

Why recommend_model needs a policy

This tool queries information about LLM models and their pricing to provide advisory recommendations. It does not create, modify, delete, execute code, or commit financial transactions—it merely retrieves and analyzes data to advise the user.

From the tool's definition Tool description states 'Get the single best-fit LLM for a task, with pricing and reasoning.' The verb 'get' and the informational nature of returning recommendations and pricing data indicate a retrieval operation with no state changes or side effects.

Questions about recommend_model

What does the recommend_model tool do? +

Get the single best-fit LLM for a task, with pricing and reasoning. It is categorised as a Read tool in the Whichmodel-mcp MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on recommend_model? +

Register the Whichmodel- MCP server in PolicyLayer and add a rule for recommend_model: 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 Whichmodel-mcp. Nothing to install.

What risk level is recommend_model? +

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

Can I rate-limit recommend_model? +

Yes. Add a rate_limit block to the recommend_model 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 recommend_model completely? +

Set action: deny in the PolicyLayer policy for recommend_model. 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 recommend_model? +

recommend_model is provided by the Whichmodel- MCP server (which-model/whichmodel-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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