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google-data-mcp

google-data-mcp

by seliem-attia

GA4: List properties

ga4_list_properties
Read-only

Lists accessible Google Analytics 4 properties with names and numeric IDs so you can run GA4 reports and realtime queries.

Instructions

Lists all Google Analytics 4 properties the account can access (name + numeric property ID). You need the ID for ga4_run_report / ga4_realtime_report.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.6.1

TDQS

A4.4/5.0
Behavior4/5

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

The readOnlyHint/openWorldHint annotations already cover the safety profile, and the description adds value on top by disclosing the return payload shape (name + numeric ID) despite there being no output schema. The "account can access" phrasing usefully warns that results are permission-dependent. It does not address empty results or pagination, which keeps it off a 5.

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, zero filler, and the lead sentence carries the payload shape while the second carries the actionable follow-up. Nothing here is redundant with the title.

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?

For a zero-parameter discovery tool with no output schema, the description covers what an agent needs: what comes back and why it matters. The only residual gap is behavior on an account with no properties or many properties, which is minor but not nothing.

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 the baseline is 4; there is no parameter semantics to elaborate on, and the description correctly spends no words on inputs.

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 ("Lists all Google Analytics 4 properties"), scopes the result set to what "the account can access," and names the exact return fields (name + numeric property ID). That scope plus the pointer to the report tools makes it immediately distinguishable from the other ga4_list_* siblings.

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?

Explicitly frames the tool as a prerequisite step: "You need the ID for ga4_run_report / ga4_realtime_report." That tells an agent exactly when to reach for it. It stops short of naming exclusions or saying whether a cached/resolved property ID can be reused, so it falls just shy of a 5.

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