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AIsa Content & Sentiment

List of Languages for Content Analysis API

get_dataforseo_content_languages
Read-onlyIdempotent

You will receive the list of languages by calling this API.   As a response of the API server, you will receive JSON-encoded data containing a tasks array with the information specific to the set tasks.

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

B3.1/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=true, and destructiveHint=false, so the safety and idempotency profile is fully covered. The description adds billing context (usage-based, ~$0.012 estimate), which is genuinely useful behavioral information not in the annotations, but says nothing about auth or rate limits.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The second sentence about JSON-encoded data and a tasks array duplicates what the existing output schema already conveys, and the multi-line pricing comment block is verbose boilerplate. Only the first sentence is load-bearing, so the definition is padded rather than front-loaded.

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 zero parameters, a rich annotation set, and an output schema present, the description only needs to state purpose and cost, which it does. It could still note that this is a static, parameter-free reference lookup to be used before language-scoped content calls, which would close the remaining gap.

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 is 4; there is nothing for the description to disambiguate. The statement about receiving a tasks array does not add parameter meaning, but none is needed here.

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 languages) for a specific API (Content Analysis), which is clear enough to identify the tool. However, it does not differentiate itself from closely related lookup siblings such as get_dataforseo_content_locations or get_dataforseo_content_categories, so an agent must infer the distinction from names alone.

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 guidance on when to call this tool versus the other reference-list siblings, nor any stated prerequisites or sequencing (e.g., call before content search to resolve a language code). The description merely asserts what you receive, leaving usage entirely to inference.

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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