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performance_analyze_insight

Provides more detailed information on a specific Performance Insight of an insight set that was highlighted in the results of a trace recording.

Part of the Chrome Devtools server.

performance_analyze_insight can trigger actions in Chrome Devtools, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents invoke performance_analyze_insight to trigger processes or run actions in Chrome Devtools. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

performance_analyze_insight can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "performance_analyze_insight": {
      "limits": [
        {
          "counter": "performance_analyze_insight_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Chrome Devtools policy for all 29 tools.

Get this rule live on your own Chrome Devtools 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_analyze_insight 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_analyze_insight only ever does what you allow.

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Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the performance_analyze_insight tool do? +

Provides more detailed information on a specific Performance Insight of an insight set that was highlighted in the results of a trace recording.. It is categorised as a Execute tool in the Chrome Devtools MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on performance_analyze_insight? +

Register the Chrome Devtools MCP server in PolicyLayer and add a rule for performance_analyze_insight: 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 Chrome Devtools. Nothing to install.

What risk level is performance_analyze_insight? +

performance_analyze_insight is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit performance_analyze_insight? +

Yes. Add a rate_limit block to the performance_analyze_insight 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_analyze_insight completely? +

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

performance_analyze_insight is provided by the Chrome Devtools MCP server (chrome-devtools-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Chrome Devtools tool call.

Deterministic rules across all 29 Chrome Devtools tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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