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kwp-lab

Google Analytics MCP Server

by kwp-lab

Analytics Report

analytics_report

Query Google Analytics 4 data with custom dimensions, metrics, and filters. Generate reports for any date range and sort results by metric or dimension.

Instructions

Get comprehensive Google Analytics data with custom dimensions and metrics. Can create any type of report.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoLimit number of results
endDateYesEnd date (YYYY-MM-DD)
metricsYesMetrics to query (e.g., activeUsers, sessions, screenPageViews)
orderByNoSort results by dimension or metric
startDateYesStart date (YYYY-MM-DD)
dimensionsNoDimensions to query (e.g., country, pagePath, sessionSource)
propertyIdYesGoogle Analytics property ID (e.g., 123456789). Required for all queries.
metricFilterNoFilter by metric values
dimensionFilterNoFilter by dimension values
Behavior2/5

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

No annotations exist, so the description must disclose behavior. It does not mention read-only nature, rate limits, authentication needs, or data freshness. Only states it 'gets data', but lacks behavioral context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, no fluff. However, the second sentence adds little value and could be merged or improved. Overall concise but not maximally informative.

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, 4 required, nested objects, and no output schema, the description is insufficient. It lacks guidance on constructing reports, response format, and limitations.

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 baseline is 3. The description adds 'custom dimensions and metrics' but does not enhance understanding beyond the schema's parameter descriptions.

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 it fetches Google Analytics data with custom dimensions and metrics, distinguishing it from sibling tools like realtime_data and quick_insights. However, the claim 'any type of report' is vague and lacks specificity.

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 guidance on when to use this tool versus alternatives. The description implies it is for comprehensive custom reports but does not mention exclusions or when to choose sibling tools.

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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