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AIsa Keyword Volume & Ads

List of DataForSEO Trends Locations

get_dataforseo_keywords_trends_locations
Read-onlyIdempotent

You will receive the list of DataForSEO Trends locations by calling this API. You can filter the list of locations by country when setting a task. Please note that the minimum geographic scope supported for the DataForSEO Trends API is country level.

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

A3.6/5.0
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 genuine value beyond that with cost disclosure (usage-based billing, ~$0.012 default estimate) and the country-level minimum-scope restriction, but nothing about pagination, result shape, or freshness.

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?

The purpose is front-loaded and the body is short, with the geographic-scope caveat placed after the core statement. The only filler is the roundabout 'You will receive ... by calling this API' construction, which could be a single directive verb.

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?

For a parameterless read-only lookup with an output schema already describing return values, the description covers purpose, a scope constraint, and cost. An agent has what it needs to call it correctly; only the sibling-routing information is absent.

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 baseline the schema carries the full burden and the description need contribute nothing. The mention of filtering 'by country' is mildly ambiguous given the empty schema, but it reads as a downstream-task note rather than a claim of an existing parameter, so it does not materially mislead.

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 states a specific resource ('the list of DataForSEO Trends locations') retrieved by the tool, which is clearly distinct from sibling list tools in the naming. However, it never explicitly contrasts itself with near siblings like get_dataforseo_keywords_bing_locations, so an agent must infer the 'Trends' scope distinction from the tool name alone.

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

Usage Guidelines3/5

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

It hints at downstream usage ('you can filter the list of locations by country when setting a task') and states the country-level scope floor, which is an implied constraint on how the result can be used. But there is no explicit when-to-use vs. when-not, and no routing to alternative location-list 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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