validate_model

Verifies if a given model ID exists within the OpenRouter.ai registry. Use this for a quick check of model ID validity before making other API calls. Returns a boolean value (

Server Openrouterai @mcpservers/openrouterai
Category Read
Risk class Low
Parameters 00 required

What validate_model does on Openrouterai

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

Why validate_model needs a policy

The tool performs a read-only lookup operation against the OpenRouter.ai model registry. It retrieves information (model validity) without creating, modifying, deleting, or executing any code. This is a simple validation query with minimal security impact even if misused by an agent.

From the tool's definition Tool description states it "Verifies if a given model ID exists" and "Returns a boolean value". The operation is a query/validation check with no side effects.

Questions about validate_model

What does the validate_model tool do? +

Verifies if a given model ID exists within the OpenRouter.ai registry. Use this for a quick check of model ID validity before making other API calls. Returns a boolean value (. It is categorised as a Read tool in the Openrouterai MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on validate_model? +

Register the Openrouterai MCP server in PolicyLayer and add a rule for validate_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 Openrouterai. Nothing to install.

What risk level is validate_model? +

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

Can I rate-limit validate_model? +

Yes. Add a rate_limit block to the validate_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 validate_model completely? +

Set action: deny in the PolicyLayer policy for validate_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 validate_model? +

validate_model is provided by the Openrouterai MCP server (@mcpservers/openrouterai). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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