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ga4_organic_performance

Track organic search performance by fetching sessions, engagement, and bounce rate from GA4 for a selected date range.

Instructions

Get organic traffic metrics (sessions, engagement, bounce rate) from GA4.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysNo
limitNo
formatNomarkdown
metricsNo
dimensionsNo
property_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Install Server

TDQS

B3/5.0
Behavior3/5

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

With no annotations, the description carries the burden and does disclose that this is a read operation scoped to organic traffic with specific metrics. However, it does not mention output format, date-range behavior, or data aggregation, so it is only minimally transparent.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single, front-loaded sentence with no filler; the action, resource, and key metrics are presented efficiently. It loses one point only because the brevity omits contextual guidance.

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?

The tool has six parameters with no schema descriptions and no annotations, so the description is too sparse for full invocation guidance. The output schema may cover return values, but it cannot compensate for missing input semantics and usage context.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description provides no explanation of the six input parameters (days, limit, format, metrics, dimensions, property_id). Naming the returned metrics does not compensate for undocumented parameter semantics.

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?

Describes a concrete action and resource: 'Get organic traffic metrics ... from GA4,' and lists the primary metrics (sessions, engagement, bounce rate). The GA4 source and organic channel distinguish it from sibling tools like gsc_search_queries, even without naming an alternative.

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?

No guidance on when to prefer this tool over sibling analytics tools (e.g., gsc_search_queries, bing_search_queries). The description only states what the tool does and never mentions exclusions or alternatives.

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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