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AIsa Keyword Volume & Ads

Question Keywords

get_semrush_question_keywords
Read-onlyIdempotent

Question-form keyword variations for a seed phrase, with volume and CPC. Billed per returned data row at $0.36 per row (up to 20 rows; header row excluded); 4xx/5xx are not charged. Response is semicolon-delimited text.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
phraseYesKeyword phrase. URL-encode spaces as `%20` or `+`.
databaseNoRegional database / country code. Defaults to `us`.us

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds valuable behavioral details: per-row billing at $0.36 (up to 20 rows), no charge for 4xx/5xx, and a semicolon-delimited text response. This goes beyond annotations without contradiction.

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

Conciseness5/5

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

Two sentences with zero waste: the first sentence states the core purpose, the second covers billing and response format. Information is front-loaded and each clause earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple read-only tool with only 2 parameters and an existing output schema, the description covers purpose, billing constraints, and response format. Nothing essential is missing for an agent to invoke it correctly.

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

Parameters3/5

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

Schema description coverage is 100%, so both parameters (phrase and database) are documented in the schema. The description does not add additional parameter semantics beyond what the schema provides; the baseline of 3 applies.

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

Purpose5/5

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

The description states a specific verb and resource: 'Question-form keyword variations for a seed phrase, with volume and CPC.' This clearly distinguishes it from sibling tools like get_semrush_broad_match_keywords or get_semrush_keyword_overview, which return different types of keyword data.

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?

The description implies usage context by mentioning 'Question-form keyword variations' — an agent can infer this is for question-based queries. However, it does not explicitly contrast with siblings or state when not to use it, so guidance is implied rather than explicit.

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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