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AIsa Shopping & Marketplace

List of Amazon Languages for Merchant API

get_dataforseo_merchant_amazon_languages
Read-onlyIdempotent

You will receive the list of supported Amazon 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

B3.1/5.0
Behavior2/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is fully covered elsewhere. The description adds no behavioral context beyond those structured fields — no mention of caching, rate limits, or when the language list changes.

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 the resource front-loaded. It is efficient, though 'by calling this API' is redundant padding that could be dropped without losing meaning.

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 an output schema present and zero parameters, the description needn't explain return values, and annotations carry the safety profile. However, for a lookup/reference tool in a large sibling set, it should at least hint at the intended workflow (e.g. use the returned codes in fetch/submit calls).

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 of 4 applies; there is nothing for the description to disambiguate. It correctly does not invent parameter guidance.

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?

The description names a specific resource (supported Amazon languages) and implies a list-retrieval operation, so an agent knows what comes back. It does not differentiate from its closest sibling, get_dataforseo_merchant_google_languages, other than through the tool name, and the phrase 'by calling this API' is filler rather than substance.

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 statement of when to call this tool, what prerequisite workflow it supports (e.g. resolving language codes before an ASIN fetch), or how it differs from the Locations or Google-language siblings. 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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