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Dweeb1578

Marketing Analytics MCP Server

by Dweeb1578

gsc_search_analytics

Retrieve search performance data from Google Search Console. Use dimensions, date range, row limit, and country filters.

Instructions

Get Google Search Console search analytics data.

Args: dimensions: Comma-separated dimensions (query, page, date, device, country). Default: "query" start_date: Start date YYYY-MM-DD (default: 31 days ago) end_date: End date YYYY-MM-DD (default: 3 days ago, due to GSC data lag) row_limit: Max rows to return (default: 500) country: 3-letter country code filter (e.g. usa, gbr, can). Empty for global.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countryNo
end_dateNo
row_limitNo
dimensionsNoquery
start_dateNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations provided, so description bears full burden. Mentions GSC data lag (end_date default 3 days ago), but omits other behavioral traits like rate limits, authentication needs, or output pagination.

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?

Description is a single paragraph with clear bullet-like args. Front-loaded with purpose, every sentence adds value, no fluff.

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?

Given output schema exists, description doesn't need to explain returns. Covers parameters and data lag well. Could add more context about sibling tool specialization, but overall adequate.

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

Parameters5/5

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

Schema description coverage is 0%, but description fully explains all 5 parameters: dimensions format, date formats, row_limit, country codes. Adds significant meaning beyond schema titles and defaults.

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

Purpose4/5

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

The description clearly states 'Get Google Search Console search analytics data', which is a specific verb+resource. It distinguishes from siblings by implying it's the general data retrieval tool, though it doesn't explicitly differentiate.

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

Usage Guidelines2/5

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

No explicit when-to-use or when-not-to-use guidance. Provides default values and data lag context but no comparison with sibling tools like gsc_totals or gsc_quick_snapshot.

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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