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ga4_property_details

Fetches GA4 property settings such as display name, time zone, currency, industry, service level, and creation date. Use it to verify configuration before reports or access changes.

Instructions

Property settings: display name, time zone, currency, industry, service level and creation date. Requires: Google Analytics Admin API (analyticsadmin.googleapis.com) enabled on the quota project; Lector (Viewer) en la propiedad de GA4. If it fails for access, the error explains how to fix it; ga4_check_access checks everything at once.

Input Schema

NameRequiredDescriptionDefault
propertyNoSaved property name (see ga4_list_properties). Defaults to the default property.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv2.1.0

TDQS

A4/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does substantial work: it states the required Admin API (analyticsadmin.googleapis.com) on the quota project and the Viewer-level role on the GA4 property. It also discloses failure behavior ('the error explains how to fix it'), which is genuinely useful pre-call context. It stops short of confirming the operation is read-only or describing the response shape.

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 compact sentences: returned fields first, prerequisites and failure routing second. Nothing is redundant, though the mixed-language fragment ('Lector (Viewer) en la propiedad de GA4') is less clean than the surrounding English text and adds slight friction.

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

Completeness5/5

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

For a simple one-parameter read tool with no output schema, the description supplies what an agent needs: which fields come back, what credentials/permissions are required, and where to go if access fails. Nothing material is missing.

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?

There is a single optional parameter at 100% schema coverage, so the schema already explains that 'property' is a saved property name defaulting to the default property. The description adds no further meaning about that parameter, which is the baseline case for full coverage.

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 property settings) and enumerates exactly what is returned: display name, time zone, currency, industry, service level, creation date. It implies a single-property read, which separates it from the list-oriented ga4_list_properties, but it never states the verb explicitly (read/fetch) nor names the sibling it differs from.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It gives a clear context for use (inspecting a property's configuration) and routes the agent to a sibling: ga4_check_access 'checks everything at once' if access troubleshooting is the real goal. It does not explicitly say when to prefer ga4_list_properties over this tool, so the sibling differentiation is only partial.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.