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kb223

gtm-ga4-mcp

by kb223

ga4_metadata

Read-onlyIdempotent

Discover standard and custom dimension/metric API names for a GA4 property. Use it before running reports to find exact field names.

Instructions

List the dimension/metric API names available on a property (standard + custom).

Use this before ga4_run_report to find exact API names.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
searchNoOptional case-insensitive filter on API/UI names, e.g. 'revenue'.
property_idYesGA4 property ID, e.g. '123456' or 'properties/123456'.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Install Server

TDQS

A4.1/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds useful scope ('standard + custom') but no behavioral details beyond what annotations provide.

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 sentences with no filler. The first sentence states the tool's purpose, and the second provides the critical usage context (use before ga4_run_report). Every word earns its place.

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 metadata listing tool with a rich output schema, full parameter documentation, and strong annotations, the description is complete. It tells the agent what the tool returns and when to invoke it.

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 parameter meanings are fully documented in the schema. The description does not need to add parameter detail; the mention of 'API names' and 'property' aligns with the parameters without duplicating their documentation.

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 a specific action ('List') and resource ('dimension/metric API names available on a property'), including the scope 'standard + custom'. This is unambiguous and distinct from sibling report-running tools like ga4_run_report.

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?

The description explicitly tells the agent when to use this tool: 'Use this before ga4_run_report to find exact API names.' This is clear and actionable, though it does not name alternative tools or exclusion cases.

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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