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leonardosepulvedat

MCP Google Analytics Server

ga_list_key_events

Read-onlyIdempotent

Lists key events (conversions) configured for a GA4 property. Use it to identify conversion event names before building reports or sending events.

Instructions

List the key events (conversions) configured for the GA4 property.

Useful to know which event names count as conversions before building reports or sending events.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
propertyIdNoGA4 property ID to query (overrides the default GA_PROPERTY_ID). Accepts "123456789" or "properties/123456789". Use ga_get_account_summaries to discover IDs.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Addedv1.3.1

TDQS

A4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and openWorldHint=true, so the safety profile is fully covered. The description adds little beyond restating the tool's purpose; no pagination, return format, or error behavior is disclosed, but given the strong annotations this is acceptable.

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?

Two sentences, no fluff. The action is front-loaded, and the usage context is a natural second sentence that earns its place. Nothing is redundant with the schema or annotations.

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?

For a simple read-only listing tool with a single optional parameter and strong annotations, the description is complete. It could mention that propertyId defaults to GA_PROPERTY_ID, but the schema already covers that. No output schema exists, but the description gives enough context for correct invocation.

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

Parameters3/5

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

Schema description coverage is 100%, with propertyId fully documented including accepted formats and a pointer to ga_get_account_summaries. The description adds no extra parameter meaning, so the baseline of 3 applies.

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 the verb and resource: 'List the key events (conversions) configured for the GA4 property.' This precisely distinguishes it from sibling tools like ga_list_data_streams or ga_list_custom_dimensions, and the parenthetical '(conversions)' disambiguates the concept immediately.

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

Usage Guidelines4/5

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

The second sentence gives clear context: this is useful before building reports or sending events, so an agent knows when to call it. It doesn't explicitly mention when not to use it or name alternatives, but the context is specific enough that no exclusion is strictly needed.

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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