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Google Analytics Overview

google_analytics_get_overview

Get key web traffic and engagement metrics from Google Analytics 4 (GA4): active users, sessions, page views, bounce rate, average session duration, conversions, and period-over-period growth.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysNoLookback period in days (default 30)
propertyIdNoOptional GA4 property ID (e.g. properties/123456789)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior1/5

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

The description uses 'Get' and lists read-only analytics metrics, but the annotations specify readOnlyHint=false and idempotentHint=false. This directly conflicts with the read-only implication of the description, and no auth, data-freshness, rate-limit, or permission context is provided to compensate.

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 front-loaded sentence that names the data source, scope, and key metrics with no wasted words. It is appropriately sized for a two-parameter analytics retrieval tool.

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

Completeness3/5

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

The description lists the returned metric categories, which helps because there is no output schema. However, it leaves significant gaps around when to choose this overview tool versus sibling analytics tools and does not clarify the read-only nature contradicted by annotations.

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 two parameters (days and propertyId) are already fully documented in the schema. The description does not add any parameter-level meaning, such as how days interacts with period-over-period growth or when propertyId is required, so the baseline of 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?

The description gives a specific verb (Get) and resource (key web traffic and engagement metrics from GA4), and it enumerates the metric categories returned. It is clear what the tool does, but it does not explicitly distinguish itself from sibling tools such as google_analytics_get_realtime, google_analytics_get_top_pages, or get_platform_analytics.

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?

The description states what can be retrieved but gives no guidance on when to use this tool rather than alternatives like google_analytics_get_realtime or google_analytics_get_traffic_sources. There are no exclusions, prerequisites, or decision criteria for the agent.

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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