Low Risk

performance.evaluate

Evaluate web page performance using Core Web Vitals (LCP, FID, CLS, INP, TTFB) via Playwright PerformanceObserver API.

Part of the Reftrixmcp server.

performance.evaluate is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call performance.evaluate to retrieve information from Reftrixmcp without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though performance.evaluate only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

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

See the full Reftrixmcp policy for all 41 tools.

Get this rule live on your own Reftrixmcp server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access performance.evaluate gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so performance.evaluate only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the performance.evaluate tool do? +

Evaluate web page performance using Core Web Vitals (LCP, FID, CLS, INP, TTFB) via Playwright PerformanceObserver API.. It is categorised as a Read tool in the Reftrixmcp MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on performance.evaluate? +

Register the Reftrix MCP server in PolicyLayer and add a rule for performance.evaluate: 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 Reftrixmcp. Nothing to install.

What risk level is performance.evaluate? +

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

Can I rate-limit performance.evaluate? +

Yes. Add a rate_limit block to the performance.evaluate 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 performance.evaluate completely? +

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

performance.evaluate is provided by the Reftrix MCP server (@reftrixmcp/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 Reftrixmcp tool call.

Deterministic rules across all 41 Reftrixmcp tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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