Low Risk

debug_performance_metrics

Get detailed performance metrics including timing, memory usage, and paint events. Essential for performance optimization.

How to control debug_performance_metrics ↓

What debug_performance_metrics does on Firefox MCP Server

AI agents call debug_performance_metrics to retrieve information from Firefox 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 debug_performance_metrics needs a policy

This tool retrieves read-only performance data (timing, memory usage, paint events) from the browser. It does not modify state, execute code, or cause side effects. It is purely observational/diagnostic in nature, making it a Read category tool with low severity.

From the tool's definition Get detailed performance metrics including timing, memory usage, and paint events

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

How to control debug_performance_metrics

PolicyLayer is an MCP gateway — it sits between your AI agents and Firefox MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for debug_performance_metrics:

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

debug_performance_metrics 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 Firefox 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

Go deeper

Questions about debug_performance_metrics

What does the debug_performance_metrics tool do? +

Get detailed performance metrics including timing, memory usage, and paint events. Essential for performance optimization. It is categorised as a Read tool in the Firefox MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on debug_performance_metrics? +

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

What risk level is debug_performance_metrics? +

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

Can I rate-limit debug_performance_metrics? +

Yes. Add a rate_limit block to the debug_performance_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 debug_performance_metrics completely? +

Set action: deny in the PolicyLayer policy for debug_performance_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 debug_performance_metrics? +

debug_performance_metrics is provided by the Firefox MCP Server MCP server (jediluke/firefox-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Firefox MCP Server tool call.

Start from Firefox 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.

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

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.