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AIsa Technologies & Whois

List of Languages for Domain Analytics Technologies API

get_dataforseo_domains_tech_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. 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

B3.1/5.0
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 structurally. The description adds one genuinely useful behavioral fact — usage-based billing with a ~$0.012 per-request estimate — but its response-shape sentence ('tasks array') merely duplicates what the existing output schema already provides.

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 description is short, but the second sentence about the API server returning JSON with a tasks array is filler given the output schema exists, and the pricing block is injected boilerplate. The useful content (what it returns, what it costs) is not clearly front-loaded.

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 zero-parameter list endpoint with a full output schema and read-only annotations, the description covers the essentials: what is returned and that billing applies. The missing piece is scope/usage context relative to sibling endpoints, which keeps it from being fully complete.

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 there is no parameter semantics to explain; the baseline for a no-param tool is 4. Nothing in the description misleads about inputs, and no compensating detail is required.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states that the caller receives 'the list of languages', which matches the tool's name almost word-for-word, so the purpose is discernible but largely a restatement rather than an independent specification. It never distinguishes this from the closely-named sibling get_dataforseo_domains_tech_locations, nor does it say what the language list is scoped to. Adequate but thin.

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 statement of when to call this versus the sibling lookup endpoints (locations, available_filters, list) or the post_* analytics endpoints. The only 'guidance' is the tautological instruction to call the API. An agent must infer the use case entirely from the tool name.

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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