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mattwilkerson1121

GA4 Automation MCP Server

get_page_performance

Retrieve page performance metrics including page views, bounce rate, and time on page for a specified date range from GA4. Input property ID and dates to get data for up to 50 pages.

Instructions

Get page performance metrics including page views, bounce rate, and time on page

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
propertyIdYesGA4 property ID
startDateYesStart date in YYYY-MM-DD format
endDateYesEnd date in YYYY-MM-DD format
limitNoMaximum number of pages to return
Behavior2/5

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

With no annotations, the description carries full burden but only lists three metrics. It does not disclose ordering, pagination behavior, date range interpretation, data freshness, or what happens with missing data. Critical behavioral traits for a data retrieval tool are omitted.

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?

A single, clear sentence that efficiently communicates the tool's purpose without superfluous words. Every part serves a function.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema, the description should describe the response structure. It only mentions metrics but not that the result is a list of pages (implied by limit parameter) or how pages are identified. Missing output details reduce completeness for an agent.

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 100%, so baseline is 3. The description adds value by specifying the exact metrics returned (page views, bounce rate, time on page), which the schema does not include. This helps the agent understand what data to expect beyond parameter types.

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 specifies the verb 'Get' and the resource 'page performance metrics', listing key metrics (page views, bounce rate, time on page). It is distinct from sibling tools like get_traffic_sources or get_conversion_data, which focus on different analytics dimensions.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. It does not mention prerequisites, exclusions, or preferred scenarios. The agent is left to infer usage solely from the tool name and sibling list.

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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