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webanalyticsprobd-maker

Web Analytics & Tracking MCP Server

send_ga4_measurement_protocol_event

Send server-side analytics events to Google Analytics 4 by calling the Measurement Protocol API. Provide a client ID and event name to track user actions like purchases.

Instructions

Transmits a server-side analytics event to Google Analytics 4 via Measurement Protocol API.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
clientIdYesGA4 Client ID (e.g. '123456789.987654321')
apiSecretNoGA4 API Secret override (default read from ENV)
eventNameYesName of the event to track (e.g. 'purchase', 'page_view')
eventParamsNoArbitrary event parameters object
measurementIdNoGA4 Measurement ID override (default read from ENV)
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It only states the action and destination, omitting important details such as authentication requirements (e.g., environment variables for API secret/measurement ID), rate limits, error handling, or whether the operation is idempotent. This is a significant gap for a network-sending 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 a single, direct sentence with no redundant words. It front-loads the core action and destination, making it easy to parse. Every word earns its place without being overly verbose.

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 annotations, no output schema, and a moderately complex operation (server-side HTTP send), the description is incomplete. It does not explain expected return values, error behavior, or the dependency on environment variables for optional overrides mentioned in the schema. An agent would lack clear expectations about what happens after invoking the tool.

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?

The input schema provides descriptions for all 5 parameters, giving 100% coverage. The description adds no additional parameter semantics, so the baseline score of 3 is appropriate. The schema already explains the purpose of each parameter, including optional overrides and defaults.

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 tool's function: transmitting a server-side analytics event to GA4 via the Measurement Protocol API. The verb 'transmits' and the resource (event to GA4) distinguish this from sibling tools that audit, generate, or validate data layer/tracking code.

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 implies the use case (send an analytics event) but provides no explicit guidance on when to use this tool versus the siblings (audit, generate, validate). It does not mention when not to use it or name alternative tools, though the sibling names offer some contextual differentiation.

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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