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Dweeb1578

Marketing Analytics MCP Server

by Dweeb1578

ga4_channel_breakdown

Retrieve GA4 traffic breakdown by channel, including Organic Search, Paid Search, and Direct. Filter by date range and country for targeted analysis.

Instructions

Get GA4 traffic breakdown by channel (Organic Search, Paid Search, Direct, etc.).

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")

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countryNo
end_dateNo
start_dateNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations, the description carries the full burden. It mentions date range and country filter but does not disclose read-only nature, data freshness, aggregation, or limitations. The behavioral context is minimal beyond the stated parameters.

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: one sentence for purpose followed by a clear bullet-style Args block. No redundant words, front-loaded with the core function.

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 and the presence of an output schema, the description covers purpose and parameter details well. It does not describe the output structure, but the output schema fills that gap. Slightly more context on what data is returned (e.g., metrics) would improve 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?

Because schema description coverage is 0%, the description compensates effectively. It explains each parameter's format (YYYY-MM-DD), defaults (e.g., '28 days ago' for start_date), and offers an example for country. This adds significant value beyond the bare schema.

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 the verb 'Get', the resource 'GA4 traffic breakdown by channel', and enumerates example channels (Organic Search, Paid Search, Direct). This distinguishes it from sibling tools like ga4_traffic_by_country or ga4_traffic_by_device.

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 implies the tool is for channel-level traffic breakdown but does not provide explicit when-to-use or alternatives. It lacks guidance on when not to use (e.g., for country or device breakdowns) compared to sibling tools.

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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