perf_lighthouse

Run a Lighthouse audit on a URL. Returns performance, accessibility, best practices, SEO scores and Core Web Vitals.

Server Yaver yaver-cli
Category Execute
Risk class High
Parameters 21 required

What perf_lighthouse does on Yaver

AI agents invoke perf_lighthouse to trigger actions in Yaver. 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.

ParameterTypeRequiredDescription
url string Yes URL to audit
device string Device: mobile or desktop (default: mobile)

Parameters from the server's own tool schema.

Why perf_lighthouse needs a policy

perf_lighthouse triggers real processes with real consequences. An agent gone sideways doesn't fire it once — it starts dozens of builds, sends mass notifications, or burns through compute before anyone looks up.

Risk signalsAccepts URL/endpoint input (url)

Questions about perf_lighthouse

What does the perf_lighthouse tool do? +

Run a Lighthouse audit on a URL. Returns performance, accessibility, best practices, SEO scores and Core Web Vitals. It is categorised as a Execute tool in the Yaver MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

What parameters does perf_lighthouse accept? +

perf_lighthouse accepts 2 parameters: url, device. Required: url. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on perf_lighthouse? +

Register the Yaver MCP server in PolicyLayer and add a rule for perf_lighthouse: 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 Yaver. Nothing to install.

What risk level is perf_lighthouse? +

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

Can I rate-limit perf_lighthouse? +

Yes. Add a rate_limit block to the perf_lighthouse 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 perf_lighthouse completely? +

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

perf_lighthouse is provided by the Yaver MCP server (yaver-cli). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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