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xiaoq-in

xiaoflow mcp server

Get Related Keywords

get_related_keywords
Read-onlyIdempotent

Retrieve related keywords for a seed term with search volume, CPC, competition, and up to 48 months of trend data. Paginate through results until no more pages.

Instructions

Get all related keywords for a seed with metrics/history. Paginate until has_more=false; no total-result cap.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoOne-based result page number.
seedYesSeed keyword used to discover related search terms.
forceNoWhen true, request a live refresh instead of relying only on cached data.
languageNoGoogle Ads language ID or language code, for example 1000 or en.
locationNoGoogle Ads geo target ID or ISO country code, for example 2840 or US.
page_sizeNoNumber of results per page; maximum 1,000.
history_monthsNoNumber of monthly history points to return, from 1 through 48.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeNoStable machine-readable error code.
dataNoKeyword results.
pageNoCurrent one-based page.
errorNoHuman-readable error when success is false.
totalNoTotal known matching results.
successYesWhether the request completed successfully.
has_moreNoWhether another result page is available.
next_pageNoNext page number, or null when complete.
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. The description adds useful behavior about pagination and the lack of a result cap, which goes beyond annotations.

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 concise sentences, front-loaded with the core purpose, and no unnecessary words. Every sentence adds value.

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 tool with 7 parameters, a full output schema, and rich annotations, the description is sufficient. It explains the pagination behavior, though it could briefly mention what 'metrics/history' entails.

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 the schema adequately describes all 7 parameters. The description adds no additional parameter meaning beyond the schema.

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?

Description clearly states 'Get all related keywords for a seed with metrics/history', using a specific verb and resource. It distinguishes from sibling tools like discover_keywords and get_keyword_metrics by emphasizing related keywords with metrics/history.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Description provides pagination instructions ('Paginate until has_more=false; no total-result cap'), which helps the agent use the tool correctly. However, it does not explicitly compare with alternatives or state when not to use it.

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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