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Dweeb1578

Marketing Analytics MCP Server

by Dweeb1578

ga4_site_engagement

Retrieve GA4 site engagement metrics including sessions, users, engagement rate, and bounce rate, filterable by date, country, and channel.

Instructions

Get GA4 site engagement metrics (sessions, users, engagement rate, bounce rate).

Args: start_date: Start date YYYY-MM-DD (default: 28 days ago) end_date: End date YYYY-MM-DD (default: today) country: Full country name filter (e.g. "United States", "United Kingdom") channel: Channel filter (e.g. "Organic Search", "Paid Search", "Direct")

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
channelNo
countryNo
end_dateNo
start_dateNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations provided, the description carries the full burden. It describes the tool as a read operation for retrieving metrics and lists the output fields (sessions, users, engagement rate, bounce rate). This is adequate, though it could mention data aggregation or any limitations.

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 extremely concise, with a single-sentence purpose followed by a bullet-list of arguments. Every piece of information is relevant and front-loaded. There is no wasted text.

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?

Given the tool's simplicity (4 optional parameters, output schema exists), the description covers the main usage. It explains input parameters well and hints at the output metrics. However, it does not detail the output format or row structure, but the output schema likely fills that gap.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It documents all four parameters: start_date and end_date with format and defaults, and country and channel with examples. This adds significant meaning beyond the schema titles, making the tool easy to use.

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 clearly states that the tool retrieves GA4 site engagement metrics, listing specific metrics (sessions, users, engagement rate, bounce rate). It uses the verb 'Get' and identifies the resource, distinguishing it from sibling GA4 tools like ga4_channel_breakdown or ga4_compare_periods.

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 implies usage for obtaining site engagement metrics and provides parameter details, but does not explicitly state when to use this tool over alternatives. It gives clear context and parameter defaults, which helps the agent select it when those metrics are needed.

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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