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surendranb

Google Analytics MCP Server

by surendranb

get_property_schema

Read-onlyIdempotent

Retrieve the complete schema for a Google Analytics 4 property, listing every available standard and custom dimension and metric. Use it when you need the full data model, noting the output is large.

Instructions

Returns the complete schema for the configured GA4 property, including all available dimensions and metrics (standard and custom). Warning: This can be a very large object (10k+ tokens). Use search_schema for most discovery tasks.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Install Server

TDQS

A4.7/5.0
Behavior4/5

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

Annotations already declare the tool read-only and idempotent. The description adds valuable behavioral context by warning about the very large object size and clarifying the scope (complete schema including standard and custom dimensions/metrics). No contradiction with annotations.

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?

Two efficient sentences: the first conveys the core purpose, the second adds a critical warning and points to an alternative. Every word earns its place with no redundancy.

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 zero-parameter, no-output-schema tool with strong annotations, the description fully covers the essential context: what it returns, the size caveat, and the alternative for lighter-weight tasks. Nothing missing.

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?

The tool has zero parameters, and schema coverage is trivially 100%. The description adds no parameter detail because none exist, but it clearly explains what the return object contains, which is sufficient for a parameterless tool.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool returns the complete schema for the configured GA4 property, including all dimensions and metrics. It distinguishes itself from siblings by explicitly noting it returns the full schema and pointing to search_schema for most discovery tasks.

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

Usage Guidelines5/5

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

Explicit guidance is provided: the warning about large size (10k+ tokens) signals caution, and 'Use search_schema for most discovery tasks' names the alternative and indicates when not to use this tool.

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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