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GSCPAP - Google Search Console, GA4, PageSpeed Insights & live SERPs MCP

GA4 overview

ga4_overview
Read-only

High-level GA4 snapshot for a property over the last N days.

Returns the headline metrics SEOs and product folks check first: activeUsers, sessions, newUsers, screenPageViews, bounceRate (0..1), averageSessionDuration (seconds), engagementRate (0..1), and the per-day breakdown.

Input Schema

NameRequiredDescriptionDefault
daysNo1-365, default 28
property_idYesGA4 property id (numeric or "properties/XYZ")

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=true, so the safety profile is covered. The description adds real interpretive value by specifying units and ranges (bounceRate 0..1, averageSessionDuration in seconds, engagementRate 0..1). It says nothing about auth, quota/rate limits, or how missing property access is surfaced, which matters for an open-world external API.

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 short sentences, front-loaded with the core purpose and followed by the concrete metric inventory. Every sentence carries information, though the metric list partially duplicates what the output schema already conveys.

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?

For a two-parameter read-only snapshot tool with an output schema and annotations already in place, the description supplies enough to select and call it correctly. Only the routing relationship to the other GA4 siblings is left implicit.

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% and both parameters are fully documented there, including the 1-365 range and the accepted property-id forms. The description's "last N days" only loosely echoes the days parameter and adds no syntax or constraint beyond the schema, so the baseline 3 applies.

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?

"High-level GA4 snapshot for a property over the last N days" gives a concrete resource (GA4 property), a scope (last N days), and a mode (headline/overview). Listing the exact metrics makes it distinguishable from deeper siblings like ga4_top_pages or ga4_engagement, though it never names an alternative explicitly.

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 phrase "headline metrics SEOs and product folks check first" implies this is the entry-point/broad-look tool, and the metric list tells the agent what questions it can answer. However, there is no explicit "use this instead of X when Y" guidance nor any stated preconditions such as needing a property_id from list_ga4_properties.

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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