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noviq-ai

Google Analytics MCP Server

by noviq-ai

list_property_annotations

Retrieve annotations for a Google Analytics 4 property to record notable events like releases, campaigns, or traffic fluctuations for specific dates.

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 are provided, so the description must disclose behavioral traits. It only says 'Returns annotations' without stating read-only nature, side effects, or authentication needs. The lack of output schema further reduces transparency.

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 well-structured with a purpose sentence, paragraph explanation, and Args section. It is slightly verbose but avoids rambling; each part adds context.

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, the description covers purpose and parameter format but lacks return structure or pagination details. Given no output schema, some completeness is missing.

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?

Despite 0% schema description coverage, the tool description explains property_id accepted formats (number or 'properties/'+number) in detail, significantly adding value beyond the schema's type-only definition.

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 clearly states it 'Returns annotations for a property' and explains what annotations are, but does not explicitly differentiate from sibling tools, which are distinct enough.

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 provides context on when annotations are used (e.g., service releases, marketing campaigns), giving implicit guidance, but lacks explicit 'when to use' vs. 'alternatives' statements.

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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