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FlorianBruniaux

gsc-mcp

ga4_conversion_funnel

Identify pages and events driving conversions in GA4. Runs reports on conversion-ranked pages and event counts, optionally filtered by event name, hostname, or country.

Instructions

Fetch GA4 conversion data: pages that generated conversions, and event counts.

Runs two reports in sequence: pages ranked by conversion count, and events ranked by event_count (optionally filtered to a specific event_name). Useful for identifying which pages and events drive goals. Dates use GA4 relative format. hostname and country narrow both reports to a specific host or country.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countryNo
end_dateNotoday
hostnameNo
event_nameNo
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?

Without annotations, the description carries the burden. It discloses sequential report execution and date format, but lacks read-only confirmation, rate limits, or side effect details. This is adequate but not rich.

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 concise with front-loaded main action, using four clear sentences without fluff.

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 6 parameters, no annotations, and an output schema, the description covers the main usage and report structure well, though it omits error handling or edge cases.

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 coverage is 0%, so the description must compensate. It explains date relative format, hostname/country filtering, and event_name filter, but does not clarify property_id or provide complete parameter meanings.

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 it fetches GA4 conversion data, specifically pages with conversions and event counts, and runs two sequential reports. This distinguishes it from sibling tools like ga4_page_performance or ga4_user_behavior.

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 provides context by noting it is useful for identifying which pages and events drive goals, but does not explicitly state when to use it versus alternatives or mention 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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