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AIsa SERP — Google

List of Google AI Mode Languages for SERP

get_dataforseo_serp_google_ai_mode_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

C2.5/5.0
Behavior2/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint, and destructiveHint=false, and the description adds nothing about auth, rate limits, or caching. The only extra claim, that the response is JSON with a 'tasks' array, duplicates a return format already covered by the output schema.

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 short, but the second sentence is boilerplate about a 'tasks array' that adds no information given the output schema, and the useful premise (what these languages are) is absent. Efficient in length but not in value.

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?

With no parameters and an output schema present, the definition is minimally viable, but it omits the one thing an agent would want: that this is a reference list of language codes for the AI Mode SERP endpoints. Complete enough to call, incomplete for selection.

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 there is no parameter meaning for the description to supply; baseline 4 applies. Nothing in the description misrepresents the empty input contract.

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 says only that the caller 'will receive the list of languages by calling this API', which essentially restates the name and title. It never mentions Google AI Mode, SERP, or what the language list is used for, so an agent learns nothing beyond the tool name.

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 mention that this feeds the AI Mode SERP endpoints (e.g. post_dataforseo_serp_google_ai_mode_live), and no exclusions. The reference-lookup intent is only inferable from the title, not the description.

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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