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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.

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. 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, and destructiveHint=false, covering the safety profile. The description adds no behavioral context beyond restating the return, and contains no information about rate limits, response format, or the billing caveat being pricing boilerplate rather than tool behavior.

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 core sentence is short but redundant with the title, and it is followed by a large block of pricing boilerplate that is not about the tool's function. The functional content is front-loaded, but the pricing comment dilutes it.

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, the description needn't explain return values, so the main gaps are the lack of any guide to what a location is or how to use it. For a trivial parameterless lookup, this is minimally adequate but leaves the agent without selection rationale among sibling content 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 has zero parameters, so the baseline is 4. There is nothing to document, and the description correctly implies a parameterless list call.

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 says 'You will receive the list of locations by this API call,' which largely restates the title 'List of Locations for Content Analysis API.' It conveys that the tool returns locations, but adds no specificity about what a 'location' means (country/city/region codes) or how it differs from sibling tools like get_dataforseo_content_languages.

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 guidance is given on when to use this tool versus alternatives such as get_dataforseo_content_languages or get_dataforseo_content_categories, nor any prerequisites or context about when location data is needed. The agent must infer usage from the name alone.

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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