Low Risk

list_free_models

List all available free models with quality scores and availability status.

How to control list_free_models ↓

What list_free_models does on OpenRouter MCP Server

AI agents call list_free_models 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.

Low Risk

Why list_free_models needs a policy

This tool performs a read-only query to enumerate and display information about free AI models. It has no side effects, does not execute code, does not create or modify data, and does not affect financial systems. The blast radius of misuse is minimal—an agent could at worst receive a list of available models, which is informational only.

From the tool's definition Tool name 'list_free_models' and description 'List all available free models with quality scores and availability status' indicate a retrieval operation that queries available models without modifying, executing, or deleting data.

Documented attack patterns abuse exactly the kind of access list_free_models gives an agent:

How to control list_free_models

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 list_free_models:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "list_free_models": {}
  }
}

list_free_models is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register OpenRouter MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
CAP THIS TOOL →

Free to start. No card required.

Related tools and policies

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Questions about list_free_models

What does the list_free_models tool do? +

List all available free models with quality scores and availability status. It is categorised as a Read tool in the OpenRouter MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on list_free_models? +

Register the OpenRouter MCP Server MCP server in PolicyLayer and add a rule for list_free_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 OpenRouter MCP Server. Nothing to install.

What risk level is list_free_models? +

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

Can I rate-limit list_free_models? +

Yes. Add a rate_limit block to the list_free_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.

How do I block list_free_models completely? +

Set action: deny in the PolicyLayer policy for list_free_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.

What MCP server provides list_free_models? +

list_free_models is provided by the OpenRouter MCP Server MCP server (physics91/openrouter-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every OpenRouter MCP Server tool call.

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.

Free to start. No card required.

9 OpenRouter MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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