Get detailed information about a specific model
AI agents call get_model_info to retrieve information from OpenRouter MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is a straightforward data retrieval tool that fetches information about AI models (likely names, descriptions, pricing, capabilities, etc.). It performs no state-changing operations, does not execute code or commands, and cannot delete or modify data. The worst-case misuse (e.g., an agent repeatedly calling it) would be informational gathering with minimal security impact. Classified as Read with low severity.
From the tool's definition Tool name 'get_model_info' and description 'Get detailed information about a specific model' indicate a retrieval operation that queries and returns model metadata (presumably pricing, capabilities, availability).
Documented attack patterns abuse exactly the kind of access get_model_info gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and OpenRouter MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_model_info:
{
"version": "1",
"default": "deny",
"tools": {
"get_model_info": {}
}
}get_model_info is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get detailed information about a specific model. It is categorised as a Read tool in the OpenRouter MCP Server MCP Server, which means it retrieves data without modifying state.
Register the OpenRouter MCP Server MCP server in PolicyLayer and add a rule for get_model_info: 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 OpenRouter MCP Server. Nothing to install.
get_model_info 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 get_model_info 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 get_model_info. 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.
get_model_info is provided by the OpenRouter MCP Server MCP server (th3nolo/openrouter-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from OpenRouter MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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4 OpenRouter MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.