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AIsa Content & Sentiment

List of Locations for Content Analysis API

get_dataforseo_content_locations
Read-onlyIdempotent

You will receive the list of locations by this API call.

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

C2.5/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=true, so the safety profile is fully covered by structured data. The description adds nothing beyond this – no note that it is a static reference list, no rate-limit or caching context, no mention that it takes no input.

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?

It is a single short sentence, so there is no bloat in length, but the only content is the redundant phrase 'You will receive the list of locations by this API call'. It is concise without being informative; the front-loaded element merely echoes the title.

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?

Because there are no parameters and an output schema exists, the description need not describe return values, so the minimal text is arguably sufficient. However, it never clarifies what 'locations' means (geographic/market targets for content analysis) or how the result is meant to be consumed, leaving ambiguity among near-identical sibling list tools.

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 and there is nothing for the description to compensate for. The description neither confuses nor enriches an empty schema.

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 essentially restates the title ('List of Locations for Content Analysis API') with the filler phrase 'by this API call', adding no verb, scope, or qualifier beyond it. An agent learns no more than it already knew from the name. It does not distinguish this from the many similarly named siblings.

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 indication of when to call this versus get_dataforseo_content_languages, get_dataforseo_content_categories, or get_dataforseo_content_available_filters. No prerequisites, no workflow context (e.g., that locations feed into a subsequent search call) are given.

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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