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FlorianBruniaux

gsc-mcp

ga4_organic_landing_pages

Retrieve organic traffic landing page performance from GA4 including sessions, engagement, conversions, and revenue. Specify date range, hostname, or country for filtered insights.

Instructions

Fetch GA4 landing page performance filtered to organic traffic only.

Dates use GA4 relative format: '28daysAgo', 'today', '7daysAgo', 'yesterday', or 'YYYY-MM-DD'. Returns sessions, engaged_sessions, bounce_rate, avg_session_duration, conversions, and revenue per landing page. Pass property_id to override GA4_PROPERTY_ID for multi-property setups. hostname and country narrow results to a specific host or country.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
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?

No annotations are provided, so the description carries full burden. It lists returned metrics (sessions, engaged_sessions, bounce_rate, etc.) which helps understand behavior. However, it does not disclose read-only nature, rate limits, auth needs, or data freshness, leaving gaps.

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 four sentences long, front-loaded with purpose, and each sentence adds value. No fluff or repetition. It is well-structured and easy to parse.

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 complexity (6 parameters) and presence of an output schema, the description covers inputs well and outlines returned data. Minor gaps: limit meaning and error handling are absent, but overall it provides sufficient context for most use cases.

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?

Schema coverage is 0%, but the description adds meaning for most parameters: explains date format (GA4 relative format), property_id override, hostname and country narrowing. Limit is mentioned but not detailed. Overall, it significantly enhances schema understanding.

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 landing page performance filtered to organic traffic only. It uses specific verbs and resources, and distinguishes from sibling tools like ga4_page_performance and ga4_traffic_sources by narrowing to organic traffic and 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 explains when to use the tool (for organic landing page performance) and includes context for multi-property setups by passing property_id. However, it does not explicitly state when not to use it or mention alternative tools for different scenarios.

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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