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AIsa Shopping & Marketplace

List of Google Shopping Locations for Merchant API

get_dataforseo_merchant_google_locations
Read-onlyIdempotent

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

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedOutput schema / x-fastmcp-wrap-result
      Added value: +true
  2. Changed1 schema field changed
    • removedOutput schema / x-fastmcp-wrap-result
      Removed value: -true
  3. Changed1 schema field changed
    • addedOutput schema / x-fastmcp-wrap-result
      Added value: +true
  4. First observed

TDQS

C2.4/5.0
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 covered by structured data. The description does add useful non-annotation context - a default request cost estimate of $0.012 USD with a caveat that pricing is account-specific - which is genuine behavioral information an agent cannot get elsewhere. It says nothing about result size or refresh cadence, so it earns only a partial score.

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 text is short and front-loads the billing figure, but as a tool description it is almost entirely a pricing disclaimer rather than a statement of capability, so its brevity reflects under-specification rather than efficient communication.

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

Completeness2/5

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 remaining job is to state what the tool returns and when to call it - a list of supported Google Shopping locations for Merchant API lookups. The description omits this entirely, so an agent must reverse-engineer the tool's role from its name alone.

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 schema baseline of 4 applies. No parameter-level detail is needed or missing.

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 body contains only a billing notice and never states what the tool does. The purpose is inferable solely from the name/title ('List of Google Shopping Locations'), which the description itself does not restate or clarify, and no differentiation from siblings like get_dataforseo_merchant_google_languages is offered.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use, when-not-to-use, prerequisite, or alternative-tool guidance appears anywhere in the description. The only content is pricing boilerplate, so an agent gets zero routing help among the many sibling tools.

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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