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Walma-Labs

ga4-mcp

by Walma-Labs

get_account_summaries

List the Google Analytics accounts and properties a service account can read, including property IDs, to find accessible GA4 data sources.

Instructions

List the Google Analytics accounts and properties the service account can read, with property IDs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.7/5.0
Behavior3/5

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

With no annotations, the description carries the full burden, and it does disclose the key behavioral fact that results are limited to what the service account can read (a permission boundary). However, it never states that it is a read-only, side-effect-free operation, and says nothing about pagination, rate limits, or result volume.

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?

A single sentence with no filler, front-loading the resource and scoping constraint before the returned identifier detail. Nothing extraneous and nothing buried.

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?

There is no output schema, so the description must sketch the return; it does so at a high level (accounts, properties, property IDs). It stops short of clarifying the account→property nesting or whether results are paginated, which an agent would need to parse the response confidently.

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 takes zero parameters, so there are no parameter semantics to document and the baseline of 4 applies. The description correctly adds no spurious parameter guidance.

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?

Specific verb ("List") plus specific resource (Google Analytics accounts and properties) and a scope qualifier ("the service account can read"), plus the notable payload detail "with property IDs". It is distinguishable from siblings like get_property_details or run_report by being the account/property discovery call, though no sibling is named explicitly.

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 only implied: because it returns property IDs, an agent can infer this is the discovery step before run_report or get_property_details. There is no explicit statement of when to call it, when not to, or which sibling to use instead.

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