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google-analytics-mcp

List Properties

list_properties

List Google Analytics 4 accounts and their properties hierarchically. Optionally specify an account ID to filter results.

Instructions

List all Google Analytics 4 accounts with their associated properties in a hierarchical structure.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
account_idNoOptional specific Google Analytics account ID to list properties for. If not provided, will list all accessible accounts with their properties.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4/5.0
Behavior3/5

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

With no annotations, the description carries full burden for behavioral disclosure. It states the output is a hierarchical listing but does not mention permissions, error handling, pagination, or any side effects. For a simple read-only listing tool, this is acceptable but leaves room for more detail.

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, front-loaded sentence that efficiently conveys the core purpose without wordiness. Every part is meaningful.

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?

Given the simple nature (one optional parameter), an output schema, and clear purpose, the description covers what an agent needs to decide whether and how to call it. It lacks details on error conditions or precise response shape, but those are partially covered by the output schema.

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 coverage is 100% and the schema already explains the optional account_id and the 'list all' behavior. The description adds no new semantic information beyond what the schema provides, so the baseline 3 is appropriate.

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 states a specific verb ('list'), resource ('Google Analytics 4 accounts with their associated properties'), and clarifies the hierarchical structure. It is clearly distinct from sibling tools that focus on metrics and reports.

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 conveys when to use the tool (to list accounts/properties) and includes behavior for when account_id is omitted. It does not explicitly reference alternatives, but the sibling tools are obviously unrelated (metrics/reports), so the context is clear without explicit exclusions.

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