Skip to main content
Glama

AIsa Domain & Keyword Research

Subdomains

post_dataforseo_labs_google_subdomains_live
Destructive

This endpoint will provide you with a list of subdomains of the specified domain, along with the ranking distribution across organic and paid search. In addition to that, you will also get the estimated traffic volume of subdomains based on search volume and impressions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.8/5.0
Behavior2/5

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

The description portrays a pure data-retrieval endpoint ('provide you with a list', 'get the estimated traffic volume'), yet annotations declare destructiveHint=true and readOnlyHint=false, a direct conflict. The description does add output context (which metrics come back), but the mismatch with the stated safety profile undercuts transparency.

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?

Three sentences, front-loaded with the primary output, and every sentence states a distinct data category. Minor filler ('In addition to that') but no real waste.

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 an output schema exists, return-value detail is not required, and the description adequately frames the response content. However, for a live paid POST with a required body, the description omits input format, cost implications, and usage context, leaving meaningful gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Top-level schema description coverage is 0% (the sole 'body' parameter is undocumented), and the description adds nothing about the required target domain, the body array wrapper, or filtering/ordering options. Parameter meaning must be inferred entirely from the nested schema, which the description never references.

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 names a specific verb+resource (returns a list of subdomains for a specified domain) and enumerates the data delivered: organic/paid ranking distribution and estimated traffic volume. It is clear enough to distinguish from other DataForSEO Labs tools, though it never explicitly contrasts itself with siblings like domain_rank_overview.

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 use this tool versus alternatives, no prerequisites (a 'live' paid endpoint posting a body array), and no notes on batching or cost. The reader gets what it returns but not when it is the right call.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources