Skip to main content
Glama

AIsa On-Page Audit

List of Languages for OnPage Lighthouse API

get_dataforseo_on_page_lighthouse_languages
Read-onlyIdempotent

You will receive the list of languages by calling this API. As a response of the API server, you will receive JSON-encoded data containing a tasks array with the information specific to the set tasks.

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

C2.8/5.0
Behavior2/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, covering the safety profile. The description adds only that the response is 'JSON-encoded data containing a tasks array', which is redundant given an output schema exists, and discloses nothing extra about auth, quotas, or behavior.

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?

The first sentence is front-loaded and functional, but the second sentence is boilerplate about JSON response structure that restates what the output schema already provides. It is short but the trailing sentence does not earn its place.

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?

For a zero-parameter read tool with an output schema, the description covers the minimum: it says what is returned. But it omits any routing information distinguishing it from the many sibling reference/list endpoints, which is the main gap given how crowded the sibling set is.

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. There are no argument semantics for the description to clarify, and it introduces no misleading parameter information.

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

Purpose3/5

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

The description does state the resource ('list of languages') and ties it to the OnPage Lighthouse API, so the agent can roughly identify it. However, it never names a distinct verb+resource in a crisp way and does not differentiate itself from sibling list tools such as get_dataforseo_on_page_lighthouse_audits or get_dataforseo_on_page_lighthouse_versions beyond the word 'languages'. Purpose is inferable but not sharply stated.

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 on when to call this versus the sibling list/reference tools (available_filters, lighthouse_audits, lighthouse_versions), no prerequisites, and no mention of whether it needs an input. 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.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources