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Opus Growth, Ad Platforms MCP Connector

GA4 Overview

ga4_overview
Read-onlyIdempotent

GA4 overview KPIs (last N days): sessions, users, new users, page views, conversions, engagement rate (%), avg. session duration (sec). property = from ga4_list_properties (property name/number also works).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysNo
propertyYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

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TDQS

A3.5/5.0
Behavior3/5

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

Annotations already establish the safety profile (readOnlyHint, idempotentHint, destructiveHint=false, closed world). The description adds real value by disclosing the units of the returned metrics (engagement rate in %, session duration in sec) and the time-window semantics, but says nothing about rate limits, freshness/latency, or aggregation behavior.

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?

It is compact and front-loaded: the returned KPIs lead, followed by the property prerequisite. Slightly list-heavy, but every clause carries information, and there is no filler.

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?

With an output schema present, the description does not need to document return shape, yet listing the KPIs still aids selection. For a 2-parameter read-only tool with full annotations, the main remaining gap is the absence of routing guidance versus ga4_report and ga4_realtime.

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 0%, so the description must carry the parameter burden; it does clarify that 'days' is the trailing window and that 'property' accepts a name or number sourced from ga4_list_properties. However, it omits the accepted format for property (e.g. properties/12345), any bounds on 'days', and the 28-day default, so format-level guidance is still missing.

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 names the resource (GA4 overview KPIs) and enumerates the exact metrics returned, so an agent knows precisely what the tool yields. It does not, however, differentiate it from the other GA4 read siblings (ga4_report, ga4_realtime), leaving the agent to infer the distinction from the KPI list alone.

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?

Usage is implied by the fixed KPI list ('last N days' overview), and the property prerequisite points to ga4_list_properties. There is no explicit statement of when to prefer this over ga4_report for custom breakdowns or ga4_realtime for live data, so the agent must infer the boundary.

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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