Get detailed performance metrics including timing, memory usage, and paint events. Essential for performance optimization.
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.
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:
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:
{
"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.
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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.
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.
debug_performance_metrics 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 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.
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.
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.
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.
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29 Firefox MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.