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kb223

gtm-ga4-mcp

by kb223

ga4_admin_list

Read-onlyIdempotent

List GA4 property sub-entities like data streams, key events, custom dimensions, custom metrics, Google Ads links, and Firebase links by specifying the entity type and property ID.

Instructions

List a GA4 property's sub-entities.

Covers data streams, key events, custom dimensions/metrics, Google Ads links, and Firebase links.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
page_tokenNoPagination token from a previous response.
entity_typeYesWhich property sub-entity to list.
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 provide readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds useful scope information by naming the entity types, but it does not add deeper behavioral details such as pagination behavior or response characteristics, though the output schema may cover those.

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?

The description is two concise sentences with the primary action front-loaded and the supported entity types summarized in a compact list. There is no filler or redundant restating of schema fields.

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?

Given the rich annotations, complete parameter descriptions, and presence of an output schema, the description is fully adequate. It clearly communicates the tool's scope, and the schema covers the remaining invocation details such as property ID format and pagination.

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%, with clear descriptions for entity_type, property_id, and page_token. The description's listing of entity types adds a helpful summary but does not provide additional parameter semantics beyond what the schema already states.

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 uses the specific verb 'List' with a clear resource, 'a GA4 property's sub-entities', and immediately enumerates the covered entity types. This makes the tool's role clear and distinguishes it from siblings like ga4_property_get, which retrieves the property itself.

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 gives clear context by specifying exactly which kinds of sub-entities the tool covers, so an agent can infer when to use it. It does not explicitly name sibling tools or state when not to use it, but no exclusions are needed given the focused scope.

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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