Skip to main content
Glama

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.

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

C2.3/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=true, and destructiveHint=false, covering the safety profile. The description adds nothing beyond that — no auth requirements, rate limits, caching, or freshness of the version data — and the generic API-background sentence provides essentially no behavioral value.

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, so it is not bloated, but it is not front-loaded with the tool's function either. The one sentence spends its words on project provenance instead of the action the tool performs, making it inefficient for its size.

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?

An output schema exists, so return values need not be described, which covers the biggest potential gap. However, the description never states that this returns the set of supported Lighthouse versions, leaving the agent to infer the entire purpose from the tool name alone; for a zero-parameter lookup this is a meaningful omission.

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. The schema is empty and complete, and there are no argument semantics for the description to clarify; nothing is missing on this dimension.

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 says what the tool does. It only explains that the OnPage Lighthouse API is based on Google's Lighthouse project and returns page-quality data — background about the API family, not this specific endpoint. The name implies a list of supported Lighthouse versions, but the description neither confirms nor clarifies that, so an agent cannot distinguish it from siblings like lighthouse_audits or 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 Guidelines1/5

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

There is no when-to-use guidance, no mention of alternatives among the many sibling lighthouse/on-page tools, and no prerequisites or context for invocation. The sentence gives no operational direction at all.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources