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google-analytics-mcp-server

ga4_get_key_events

Retrieve GA4 key event names and counts using metadata-aware Data API reports. Get a best-effort inventory of conversions for a property.

Instructions

Inventory GA4 key events/conversions using metadata-aware Data API reports. Returns best-effort event names and counts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
endDateNoEnd date YYYY-MM-DD or relative (today, yesterday)
startDateNoStart date YYYY-MM-DD or relative (7daysAgo, yesterday)
datePresetNolast28days
propertyIdYesGA4 property ID (numeric, e.g., 123456789)
Behavior3/5

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

With no annotations, the description carries the transparency burden. It helps by disclosing the 'best-effort' nature of the results and that it uses 'metadata-aware Data API reports,' which signals potential incompleteness. However, it does not clarify read-only behavior, auth expectations, or what 'best-effort' means in practice.

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 a single front-loaded sentence with no filler. The core purpose and output are stated immediately, and every clause contributes meaningful information such as 'metadata-aware' and 'best-effort.'

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?

For a tool with no output schema and no annotations, the description gives a reasonable but thin picture: a key-event inventory returning names and counts. It lacks detail on date-range behavior, limit semantics, and the practical implications of 'best-effort,' so it is minimally adequate but not complete.

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

Parameters2/5

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

The description adds no parameter-level meaning beyond the schema. Schema coverage is 60% and the description does not explain how date range, datePreset, or limit affect the key-event inventory. The agent must rely entirely on the schema's limited descriptions and defaults.

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 uses a specific verb and resource: 'Inventory GA4 key events/conversions' and states the return value ('best-effort event names and counts'). This clearly separates it from generic reporting tools like ga4_run_report, though it does not explicitly name a sibling or contrast itself with ga4_get_event_parameters.

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?

There is no guidance on when to use this tool versus alternative GA4 tools. The phrase 'Inventory GA4 key events/conversions' implies a listing use case, but there are no explicit when-to-use/when-not-to-use instructions or mentions of sibling tools.

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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