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Dweeb1578

Marketing Analytics MCP Server

by Dweeb1578

ga4_event_breakdown

Analyze a specific GA4 event by breaking down its performance across dimensions like landing page, with optional country and channel filters.

Instructions

Breakdown of a specific event by a chosen dimension (default: landing page).

Args: event_name: GA4 event name (e.g. "form_submit") start_date: YYYY-MM-DD (default: 28 days ago) end_date: YYYY-MM-DD (default: today) country: Country filter channel: Channel filter group_by: Dimension to break out (default: "landingPagePlusQueryString") limit: Max rows (default: 50)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
channelNo
countryNo
end_dateNo
group_byNolandingPagePlusQueryString
event_nameYes
start_dateNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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 only lists parameters and defaults, lacking any behavioral context like rate limits, data freshness, or whether the operation is read-only. No side effects or constraints are mentioned.

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 very concise: a single-sentence purpose followed by a clean Args list. No redundant information; every sentence adds value. The key message is front-loaded.

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?

Given the complexity (7 parameters, no annotations) and the large sibling set, the description is adequate but incomplete. It covers parameter semantics but lacks behavioral traits and usage differentiation. An output schema exists, so return values are not needed in the description.

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?

With 0% schema description coverage, the description adds moderate value by explaining each parameter with examples and defaults (e.g., event_name: GA4 event name (e.g. 'form_submit')). However, it omits details like accepted value ranges or format constraints for parameters like group_by or channel.

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 the tool provides a 'Breakdown of a specific event by a chosen dimension (default: landing page)', including an example event name. However, it does not explicitly distinguish itself from similar sibling tools like ga4_channel_breakdown or ga4_landing_pages_by_source.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explains the tool's function and parameters but provides no guidance on when to use this tool versus alternatives, such as ga4_funnel_report or ga4_report. No exclusions or context for choosing this tool are given.

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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