Skip to main content
Glama

run_audit

Audit a website's performance, accessibility, SEO, best practices, and PWA using Google Lighthouse, with configurable device and throttling options.

Instructions

Run a comprehensive Lighthouse audit on a website

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesURL to audit
deviceNoDevice to emulate (default: desktop)desktop
categoriesNo
throttlingNoWhether to throttle the audit (default: false)
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are present, so the description bears the full burden of behavioral disclosure. It accurately describes a read operation (audit) but does not mention potential side effects like network requests or time consumption. For a comprehensive audit tool, more details would help.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Single, concise sentence that front-loads the purpose with no unnecessary words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

While the input schema is well-documented, there is no output schema or mention of what the tool returns. For a complex tool like an audit, describing the output format would improve completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 75%, so the schema already documents most parameters. The description adds no extra meaning beyond 'comprehensive', thus baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Run a comprehensive Lighthouse audit') and the resource ('website'). However, it does not differentiate from sibling tools like get_performance_score which target specific categories.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus other similar tools (e.g., for a full audit vs. a single metric). No when-not-to-use or alternatives are mentioned.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/danielsogl/lighthouse-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server