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xiaoq-in

xiaoflow mcp server

Get Bulk Keyword Metrics

bulk_keyword_metrics
Read-onlyIdempotent

Retrieve exact-match search volume, CPC, competition, and up to 48 months of history for up to 1,000 keywords in bulk.

Instructions

Get exact-match base metrics and 1-48 months of history for up to 1,000 keywords.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keywordsYesKeywords to analyze; accepts up to 1,000 unique phrases.
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.
Behavior4/5

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

Description adds context about exact-match metrics and history beyond annotations (readOnlyHint, idempotentHint). No contradictions. Could detail response format but output schema exists.

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?

Single sentence with no wasted words. Key constraints are front-loaded.

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 output schema present, the description covers purpose and constraints adequately. Could mention sibling differentiation but not critical for completeness.

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 description adds no new parameter information beyond the schema. Baseline score 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 clearly states the action ('Get'), resource ('exact-match base metrics and history'), and constraints (up to 1,000 keywords, 1-48 months). It distinguishes from siblings by implying bulk processing and historical 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?

No explicit guidance on when to use vs alternatives like get_keyword_metrics or bulk_keyword_lookup. Usage is implied by the tool name and description but lacks direct differentiation.

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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