Skip to main content
Glama

List Property Annotations

list_property_annotations

Retrieve annotations for a Google Analytics 4 property to see notes on dates marking releases, campaigns, or traffic shifts.

Instructions

Returns annotations for a property.

Annotations are a feature that allows you to leave notes on GA4 for specific dates or periods. They are typically used to record service releases, marketing campaign launches or changes, and rapid traffic increases or decreases due to external factors.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
property_idYesThe Google Analytics property ID. Accepted formats are: - A number - A string consisting of 'properties/' followed by a number

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

A3.5/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It clearly implies a read operation with 'Returns,' and the explanation of annotations adds domain context. It does not disclose pagination, authorization requirements, error behavior, or explicitly state it is read-only, but it is not misleading.

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?

The description is concise and front-loaded with the core purpose in the first sentence. The additional sentences provide useful domain context about annotations without excessive fluff.

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 simple one-parameter tool with a rich input schema and an output schema, the description covers purpose and domain context effectively. It lacks mention of pagination or permissions, but these are not critical given the tool's simplicity and the presence of an 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 description coverage is 100%, with the property_id parameter fully documented including accepted formats. The description adds no additional parameter semantics, so baseline 3 applies.

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?

The description states a specific verb and resource: 'Returns annotations for a property.' The resource is distinct from sibling tools such as run_report or get_property_details, but no explicit differentiation is made.

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?

The description explains what annotations are and typical use cases (service releases, marketing campaigns, traffic changes), which implies when this tool might be useful. However, it does not explicitly state when to use this tool versus alternatives or provide any exclusions.

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