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leonardosepulvedat

MCP Google Analytics Server

ga_send_begin_checkout

Send a begin checkout event to Google Analytics to track when users start the checkout process. Include cart value, currency, and items for accurate ecommerce tracking.

Instructions

Send a begin checkout event to Google Analytics.

Ecommerce event for tracking when users start the checkout process.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemsYesItems in checkout
valueYesTotal value of cart
couponNoCoupon code applied
user_idNo
currencyYesCurrency code
client_idNo
user_propertiesNoUser properties (e.g., {subscription_tier: {value: "premium"}})
Behavior3/5

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

Annotations already indicate readOnlyHint=false and openWorldHint=true, signaling side effects. The description adds that it's an ecommerce event but discloses no additional behavioral traits like auth requirements or rate limits. It does not contradict annotations.

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, front-loaded with the primary purpose, no fluff. Every word contributes to understanding the tool's function.

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 an event-sending tool with nested objects and no output schema, the description adequately covers the main purpose. It doesn't explain return values, but none are expected for a send operation. It could mention prerequisites like needing a GA property context, but that may be handled at a different level.

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 coverage is 71%, which is moderate. The description itself adds no parameter-specific meaning beyond what the schema provides (e.g., 'Total value of cart', 'Items in checkout'). It neither compensates for the undocumented user_id/client_id nor adds extra 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?

The description states a specific verb and resource: 'Send a begin checkout event to Google Analytics.' It clearly distinguishes this tool from siblings like ga_send_purchase and ga_send_add_to_cart by naming the exact event type.

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?

It provides clear context: 'Ecommerce event for tracking when users start the checkout process.' This implies when to use it, though it does not explicitly mention alternatives or exclusions. The context is sufficient given the sibling tool names.

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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