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uzzii-21

gsc-mcp

by uzzii-21

gsc_query_countries

Read-onlyIdempotent

Query Search Console data grouped by country to analyze regional search performance. Use filters for dates and devices to uncover location-based SEO opportunities.

Instructions

Query Search Analytics grouped by country.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeNoweb
endDateYes
filtersNo
maxRowsNo
siteUrlYesSearch Console property, e.g. sc-domain:example.com or https://www.example.com/
dataStateNofinal
startDateYes
dimensionsNo
aggregationTypeNoauto
Behavior3/5

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

The annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds the grouping dimension ('by country') but does not disclose any other behavioral details such as response format, pagination, or interaction with filters. This adds some context but is not rich.

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, direct sentence that immediately communicates the tool's core function. There is no wasted wording, and it is appropriately front-loaded with the action and resource.

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

Completeness2/5

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

With 9 parameters, no output schema, and a low schema description coverage, the description is far too minimal to provide complete context. It does not explain the return format, how grouping is implemented (e.g., via dimensions), or how to set date ranges. This would be inadequate for an agent to use effectively without additional inference.

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?

Schema description coverage is only 11% (only siteUrl has a description). The description text does not explain any parameters, such as dimensions, filters, or aggregationType. It does not compensate for the lack of schema descriptions, leaving the agent without meaningful parameter guidance.

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 a specific action ('Query') on a specific resource ('Search Analytics') with a specific grouping dimension ('by country'). This distinguishes it from siblings like gsc_query_pages and gsc_query_queries.

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 for country-level search analytics data but provides no explicit guidance on when to choose this tool over alternatives such as gsc_query_queries or gsc_query_devices. The name and grouping hint are present, but no direct comparisons or exclusions are mentioned.

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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