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AIsa Technologies & Whois

List of Technologies for Domain Analytics Technologies API

get_dataforseo_domains_tech_list
Read-onlyIdempotent

This endpoint will provide you with the full list of available technologies structured by technology groups and categories each particular technology belongs to.

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 a genuinely useful behavioral detail not in annotations: usage-based billing with a ~$0.012 default request estimate and the caveat that final pricing may differ. It says nothing about auth needs or response shape, but the output schema covers the latter.

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 functional sentence is front-loaded and wastes no words. The trailing pricing block is template boilerplate rather than tool-specific prose, but it is short and informative, so it does not meaningfully dilute the definition.

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 read-only reference endpoint with an output schema and full annotation coverage, the description supplies what the agent needs: what the list contains and how it is structured. Only the when-to-use routing to sibling endpoints is missing.

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 nothing for the description to disambiguate; the 4 baseline applies. The mention of grouping structure is a minor bonus but not a parameter concern.

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?

States a specific verb and resource: returns the full list of available technologies, and adds the shape of the payload (grouped by technology groups and categories). An agent can distinguish it from the sibling languages/locations/filters endpoints. It stops short of explicitly naming those siblings as alternatives, so it is clear but not fully differentiated.

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?

Usage is only implied: an agent can infer this is the reference lookup to call before using technology names in post_dataforseo_domains_tech_domains_by_technology_live, but the description never says when to use it or when not to. No prerequisites, no routing to alternatives such as available_filters or languages.

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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