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xiaoq-in

xiaoflow mcp server

Get Keyword Metrics

get_keyword_metrics
Read-onlyIdempotent

Retrieve exact-match search volume, CPC, competition, and up to 48 months of historical trends for any keyword.

Instructions

Get exact-match base metrics and 1-48 months of monthly history for one keyword.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keywordYesExact keyword or seed phrase to research.
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.
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.
Behavior3/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false. The description adds context about returning base metrics and history but does not contradict 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?

The description is a single, front-loaded sentence that efficiently conveys the tool's purpose with no superfluous words.

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?

With an existing output schema, the description adequately explains the input and purpose. It could mention the return structure but is sufficient given the output schema.

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 parameter details are already documented. The description adds minimal extra 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?

The description clearly states the tool retrieves exact-match base metrics and monthly history for one keyword, distinguishing it from bulk or related tools.

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 single-keyword use but does not explicitly state when to use this tool versus siblings like bulk_keyword_metrics or discover_keywords.

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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