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AIsa On-Page Audit

Audits in OnPage Lighthouse API

get_dataforseo_on_page_lighthouse_audits
Read-onlyIdempotent

The OnPage Lighthouse API is based on Google’s open-source Lighthouse project and provides data on the quality of web pages.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.4/5.0
Behavior2/5

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

The annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint, so the safety profile is fully covered by structured data. The description adds nothing beyond that — no note on rate limits, result freshness, or what an audit payload contains — so it earns no credit for behavioral context.

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

Conciseness3/5

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

It is a single short sentence with no filler, which is efficient. However, it is not front-loaded with the tool's own action, instead leading with background about the API the tool belongs to, so the structure is adequate but not optimized for tool selection.

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

Completeness2/5

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

The output schema exists, so return values need not be explained, and there are no parameters to document. What is missing is the operation itself and any differentiation from the many sibling Lighthouse endpoints, which is the key information an agent needs to invoke this zero-arg getter correctly.

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

Parameters4/5

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

The tool takes zero parameters, so per the rubric the baseline is 4. There is no parameter semantics for the description to clarify or for the schema to leave ambiguous.

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

Purpose2/5

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

The description never states what the tool does; it describes the underlying OnPage Lighthouse API rather than the 'get ... audits' operation. 'Provides data on the quality of web pages' is a vague restatement of the API family, not a specific verb+resource for this tool, and it does nothing to separate it from siblings like get_dataforseo_on_page_lighthouse_versions or post_dataforseo_on_page_lighthouse_live_json.

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?

There is no when-to-use guidance, no prerequisites, and no mention of any alternative tool. An agent choosing among the many on_page_lighthouse_* siblings receives no signal about when this audit-retrieval endpoint is the right pick over the live JSON or versions endpoints.

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

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