Queries the OpenRouter.ai model registry, filtering by various criteria like capabilities, pricing, or provider. Use this to discover models suitable for specific needs. Returns a list of matching model metadata objects.
AI agents call search_models 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.
This tool performs a read-only search/query operation against a model registry, returning metadata about available models. It has no capability to modify data, execute code, delete resources, or commit financial actions. The blast radius of misuse is minimal—an agent could only retrieve information about available models, which is inherently non-sensitive information intended for discovery.
From the tool's definition Tool description states it 'Queries the OpenRouter.ai model registry' and 'Returns a list of matching model metadata objects.' The verb 'Queries' and 'search' indicate data retrieval with no modification or side effects.
Attacks that exploit this kind of access
Queries the OpenRouter.ai model registry, filtering by various criteria like capabilities, pricing, or provider. Use this to discover models suitable for specific needs. Returns a list of matching model metadata objects. It is categorised as a Read tool in the Openrouterai MCP Server, which means it retrieves data without modifying state.
Register the Openrouterai MCP server in PolicyLayer and add a rule for search_models: 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.
search_models 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 search_models 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 search_models. 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.
search_models 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.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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