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FlorianBruniaux

gsc-mcp

ga4_page_performance

Retrieve GA4 page performance metrics including views, users, engagement, conversions, and revenue. Filter by page path, hostname, or country for targeted analysis.

Instructions

Fetch GA4 page-level metrics: views, active users, session duration, engagement and bounce rates, conversions, and revenue.

Optionally filter to pages whose path contains page_path (substring match). Dates use GA4 relative format: '28daysAgo', 'today', '7daysAgo', 'YYYY-MM-DD'. hostname and country narrow results to a specific host or country.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countryNo
end_dateNotoday
hostnameNo
page_pathNo
start_dateNo28daysAgo
property_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It discloses accepted date formats and substring matching for page_path, but fails to mention rate limits, authentication requirements, pagination, or error behavior. Minimal behavioral disclosure beyond basic operation.

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 (two sentences plus bullet points), front-loaded with purpose, and every sentence adds value. No fluff or redundancy. Efficiently structured.

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?

With 6 parameters and an output schema, the description lists returned metrics and explains filters and dates, which is helpful. However, it misses explanation for property_id and does not specify acceptable format for country (e.g., code vs name). Adequate but with notable gaps.

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 description coverage is 0%, so the description must compensate. It adds meaning for 5 of 6 parameters: dates (relative format), page_path (substring match), hostname/country (narrowing). Only property_id is omitted. 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.

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 page-level metrics and lists specific metrics (views, active users, etc.). It identifies the resource and action, but does not explicitly differentiate from sibling tools like ga4_conversion_funnel or ga4_user_behavior, which limits differentiation. A clear verb and resource, but no sibling distinction.

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 provides context on optional filters (page_path, hostname, country) and date formats, implying usage scenarios. However, it does not offer explicit guidance on when to use this tool versus alternatives, nor does it mention prerequisites or when not to use it. The guidance is implied but not comparative.

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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