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AIsa On-Page Audit

Lighthouse versions supported in OnPage API

get_dataforseo_on_page_lighthouse_versions
Read-onlyIdempotent

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

Usage-based billing; Default request estimate: $0.012 USD (not a fixed price). Account-specific pricing and final settlement may differ.

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedOutput schema / x-fastmcp-wrap-result
      Added value: +true
  2. Changed1 schema field changed
    • removedOutput schema / x-fastmcp-wrap-result
      Removed value: -true
  3. Changed1 schema field changed
    • addedOutput schema / x-fastmcp-wrap-result
      Added value: +true
  4. First observed

TDQS

C2.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is covered structurally. The description adds genuinely useful non-annotation context: usage-based billing with a ~$0.012 default request estimate. It does not, however, add anything about the operation itself beyond what annotations provide.

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

Conciseness2/5

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

The opening sentence is background about the underlying Lighthouse project rather than the tool's purpose, so the description is not front-loaded on what the agent needs. The pricing block is structurally useful, but the prose sentence does not earn its place for a versions-listing tool.

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?

An output schema exists, so return values need not be described, and there are no parameters to document. Even so, the description never tells the agent what this call yields or when to reach for it instead of the audits/languages siblings, leaving the definition incomplete for its purpose.

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 the baseline is 4. Schema coverage is 100% (empty object), and there is nothing parameter-related the description could usefully add.

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 describes the OnPage Lighthouse API family in general terms ('provides data on the quality of web pages') rather than stating what this specific tool returns. It never says it lists the supported Lighthouse versions, so the only source of the actual purpose is the tool name/title. It also does nothing to distinguish itself from siblings like get_dataforseo_on_page_lighthouse_audits or get_dataforseo_on_page_lighthouse_languages.

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 the closely related sibling tools (audits, languages) that an agent might confuse this with. The agent is left to infer usage entirely from the name.

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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