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AIsa Shopping & Marketplace

List of Google Shopping Languages for Merchant API

get_dataforseo_merchant_google_languages
Read-onlyIdempotent

You will receive the list of supported Google Shopping languages by calling this API.

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

B3.2/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true and destructiveHint=false, so the safety profile is fully covered elsewhere. The description adds nothing beyond restating that a list is returned — no note that it is a static reference lookup, costs nothing, or requires no parameters.

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

Conciseness4/5

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

A single short sentence with no filler; the purpose is front-loaded. It is slightly padded with the boilerplate 'by calling this API', which carries no information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so return-value structure need not be explained, and there are no parameters to document. The description is adequate for a simple no-arg reference lookup, though it omits any hint about the language values format or that this is a static enumeration.

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 to convey and the schema is trivially complete. Baseline 4 applies for a no-arg tool.

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

Purpose4/5

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

States a specific verb (receive/list) and resource (supported Google Shopping languages), and the title reinforces it. An agent can distinguish it from sibling google_locations or the *_fetch tools, though the description itself does not name the sibling it differs from.

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 indication of when to call this versus the many sibling reference-lookup tools (google_locations, amazon_languages, list_categories). There are no preconditions or exclusions stated; the agent must 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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