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googleanalytics

Google Analytics MCP Server

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list_property_annotations

List all annotations for a Google Analytics 4 property to view notes on dates such as launches or changes.

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.

Args: property_id: The Google Analytics property ID. Accepted formats are: - A number - A string consisting of 'properties/' followed by a number

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
property_idYes
Behavior2/5

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

No annotations provided, so description must carry full burden. It only states it returns annotations, but does not disclose pagination, authentication needs, rate limits, output format, or side effects. Minimal behavioral info.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Description is somewhat verbose with an explanatory paragraph about annotation usage that is not essential for calling the tool. Could be more concise by focusing on usage details.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple list tool with one parameter and no output schema, the description is adequate but lacks details about return format, pagination, or error handling. No annotations further reduce completeness.

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?

With 0% schema description coverage, the description adds useful format guidance for property_id (number or 'properties/' string). This compensates well for the schema's lack of description.

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?

Description clearly states it returns annotations for a property and explains what annotations are used for. It is specific enough to distinguish from sibling tools like get_property_details or run_report, though it does not explicitly differentiate.

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?

Implied usage from the description but no explicit guidance on when to use this tool versus alternatives. No exclusions or context provided.

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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