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FlorianBruniaux

gsc-mcp

ga4_traffic_sources

Identify traffic sources driving sessions, engagement, conversions, and revenue in GA4 by channel group, source, and medium.

Instructions

Fetch GA4 sessions grouped by channel group, source, and medium.

Shows which traffic channels (Organic Search, Direct, Referral, etc.) drive the most sessions, engagement, conversions, and revenue. Dates use GA4 relative format: '28daysAgo', 'today', 'YYYY-MM-DD'. hostname and country narrow results.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countryNo
end_dateNotoday
hostnameNo
start_dateNo28daysAgo
property_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations, the description carries full burden. It discloses grouping, metrics, date format, and filtering, but does not address permissions, rate limits, or potential pitfalls.

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?

Two concise sentences covering verb, resource, grouping, metrics, date format, and filtering. No redundant information.

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?

Has output schema so return values are likely covered. Description explains grouping and metrics, but lacks clarity on property_id requirement and authentication. Adequate but not fully complete for a 5-parameter tool.

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?

Schema description coverage is 0%, so description adds value by explaining start_date/end_date formats and filtering with hostname/country. However, property_id is not described, which may be critical.

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 fetches GA4 sessions grouped by channel group, source, and medium, and mentions key metrics. However, it does not explicitly differentiate from sibling tools like ga4_conversion_funnel or ga4_organic_landing_pages.

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 usage for traffic source analysis and provides date format hints, but lacks explicit guidance on when to use this tool vs alternatives, prerequisites, or exclusions.

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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