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AdLoop: Google Ads, Reddit Ads & GA4

List Analytics properties

get_account_summaries
Read-only

List all GA4 accounts and properties available to the authenticated user, returning account names, property names, and property IDs for selecting where to run reports.

Instructions

List all GA4 accounts and properties accessible by the authenticated user.

Serves as the discovery step for which GA4 properties are available. Returns account names, property names, and property IDs.

Google Analytics Data API: https://developers.google.com/analytics/devguides/reporting/data/v1 and Admin API: https://developers.google.com/analytics/devguides/config/admin/v1

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.13.2
  2. Removedv0.13.0
  3. First observedv0.9.0

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is covered. The description adds genuine context beyond that: results are scoped to what the 'authenticated user' can access, and it frames the call as a prerequisite discovery step rather than a standalone report.

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?

Purpose is front-loaded in the first sentence, followed by role and return scope. The two external API documentation links at the end are marginal for tool selection but short and clearly optional, so the definition stays tight.

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, read-only discovery tool with rich annotations and an output schema, the description supplies everything an agent needs: what it returns, whose data it covers, and when in a workflow to call it. Return-value detail is duplicated from the output schema but does no harm.

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 per the baseline there is nothing to document and no gap for the description to fill. No parameter detail is expected or missing.

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?

States a specific verb and resource ('List all GA4 accounts and properties') scoped to GA4, which separates it from the sibling list_accounts (Ads) and the various list_gtm_*/list_reddit_* tools. An agent can identify this as the GA4 discovery tool without opening the schema.

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?

'Serves as the discovery step for which GA4 properties are available' gives clear usage context and position in a workflow. However, it never names an alternative or an exclusion (e.g. distinguishing it from list_accounts or list_gsc_sites), so routing between the several list_* siblings is left to inference.

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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