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.

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

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_dataforseo_serp_google_ai_mode_languages"
  }
}

Input Schema

Name	Required	Description	Default
No arguments

Output Schema

Name	Required	Description	Default
No arguments

Schema Changelog

Changes observed during successful MCP inspections.

Changed1 schema field changedOct 15, 2026
- addedOutput schema / x-fastmcp-wrap-result
```
Added value: +true
```
Changed1 schema field changedOct 15, 2026
- removedOutput schema / x-fastmcp-wrap-result
```
Removed value: -true
```
Changed1 schema field changedOct 15, 2026
- addedOutput schema / x-fastmcp-wrap-result
```
Added value: +true
```
First observedSep 15, 2026

TDQS

B3/5.0

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 fully covered. The description adds the response shape (JSON with a tasks array) and, usefully, a billing estimate of ~$0.012 per call with the caveat that it is not a fixed price. Return-format details are redundant given an output schema exists, but the cost note is genuine added 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?

The purpose sentence is buried behind filler ('As a response of the API server, you will receive JSON-encoded data containing a tasks array...'), which restates a standard envelope rather than the tool's role. The pricing block is compact but boilerplate; the whole passage could be one lead sentence plus the cost note.

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 description only needs to say what the languages list is for and how it relates to the live AI Mode endpoints. It supplies neither, leaving the agent to infer the connection from the tool name alone; the pricing note is the only genuinely complete piece of information.

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 nothing for the description to document, and it introduces no parameter confusion.

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 states 'you will receive the list of languages by calling this API,' which identifies the resource (languages) but does not echo the 'Google AI Mode' specificity of the tool name or distinguish it from the many location/list siblings such as get_dataforseo_serp_google_jobs_locations. An agent can infer this returns supported languages, but nothing states what the languages are for or which endpoint consumes them.

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 is a metadata/reference lookup that feeds post_dataforseo_serp_google_ai_mode_live, and no exclusions against the sibling *_locations or other list tools. The agent is left to guess whether this is a standalone query or a prerequisite lookup.

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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