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google-analytics-mcp-server

ga4_get_property_configuration

Retrieve Google Analytics 4 property details and chosen admin settings (attribution, retention, Google Signals, reporting identity, user-provided data) by specifying a property ID.

Instructions

Read GA4 property details plus selected singleton Admin settings (attribution, retention, Google Signals, reporting identity, or user-provided-data settings).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
settingsNo
propertyIdYesNumeric GA4 property ID or properties/{id}.
Behavior2/5

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

With no annotations, the description must carry the full behavioral burden. The word 'Read' signals non-mutation, but the tool's behavior beyond that—such as what happens when settings is empty, whether all settings are returned by default, authentication requirements, or rate-limit concerns—is undisclosed.

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 with no filler. It leads with the primary action and resource, then enumerates the optional settings precisely. Every phrase contributes information.

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 tool is simple with only two parameters, and the description conveys the core output concept ('property details plus selected settings'). However, with no output schema and no annotations, the agent is left without details about the response shape, default behavior when settings is omitted, or any usage caveats. It is minimally viable but has clear gaps.

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

Parameters4/5

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

Schema description coverage is only 50%, so the description must compensate for the undocumented settings parameter. It does so by labeling these as 'selected singleton Admin settings' and mapping the enum values to human-readable categories. propertyId is already well described in the schema, and the description adds meaningful context to settings.

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 uses a specific verb ('Read') and identifies a clear resource: GA4 property details plus selected singleton Admin settings. The explicit list of setting types (attribution, retention, Google Signals, reporting identity, user-provided-data) sharpens the purpose. It does not explicitly compare to sibling tools, so it stops short of a 5.

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 implies the tool is for reading configuration data but provides no explicit guidance on when to choose it over alternatives like ga4_list_admin_resources or the various diagnostics tools. There are no when-to-use or when-not-to-use conditions, so the agent is left to infer suitability.

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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