get_free_model_metrics

THE RISK

Low Risk

Why get_free_model_metrics needs a policy

This tool queries and retrieves performance statistics without creating, modifying, executing code, deleting data, or initiating financial transactions. It has no side effects and poses minimal risk if misused by an AI agent—the worst outcome would be viewing non-sensitive operational metrics.

From the tool's definition Tool description explicitly states 'View performance metrics' which is a retrieval operation with no modifications. The metrics retrieved (response time, success rate, throughput) are read-only observational data about free models.

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

POLICY

How to control get_free_model_metrics

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_free_model_metrics:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_free_model_metrics": {}
  }
}

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

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

CAP THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

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All 9 OpenRouter MCP Server tools →

Read tools on other servers

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about get_free_model_metrics

What does the get_free_model_metrics tool do? +

View performance metrics for free models (response time, success rate, throughput). 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 get_free_model_metrics? +

Register the OpenRouter MCP Server MCP server in PolicyLayer and add a rule for get_free_model_metrics: 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 get_free_model_metrics? +

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

Can I rate-limit get_free_model_metrics? +

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

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

get_free_model_metrics 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.

CHECK YOUR STACK →