performance_start_trace
Start a performance trace on the selected webpage. Use to find frontend performance issues, Core Web Vitals (LCP, INP, CLS), and improve page load speed.
This record as markdown: /tools/async23-chrome-devtools-mcp/performance-start-trace.md
What performance_start_trace does on Chrome Devtools
AI agents invoke performance_start_trace to trigger actions in Chrome Devtools. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why performance_start_trace is rated High
Starting a performance trace is an active operation that instruments and monitors a webpage, executing browser-level tracing logic. While not destructive or financial, it modifies the execution environment of the page and could be misused to extract sensitive timing data, trigger side effects during trace collection, or interfere with page functionality.
From the tool's definition Tool description states 'Start a performance trace on the selected webpage' – this triggers external operations (Chrome DevTools tracing) that depend on runtime arguments and affects the target page's behavior.
Attacks that exploit this kind of access
The rule that runs performance_start_trace safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Chrome Devtools, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For performance_start_trace, this is the rule to start with:
performance_start_trace stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Chrome Devtools, apply this rule, and every performance_start_trace call is checked against it from then on.
Questions about performance_start_trace
Start a performance trace on the selected webpage. Use to find frontend performance issues, Core Web Vitals (LCP, INP, CLS), and improve page load speed. 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.
Register the Chrome Devtools MCP server in PolicyLayer and add a rule for performance_start_trace: 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.
performance_start_trace is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the performance_start_trace 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 performance_start_trace. 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.
performance_start_trace is provided by the Chrome Devtools MCP server (@async23/chrome-devtools-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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