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RIVET / AliEV EV Charging Site Intelligence

Prepare a human-confirmed AliEV site report checkout

prepare_site_report_checkout

After the human explicitly agrees to pay, prepare secure checkout for the $299 Preliminary Site Report or $750 Full Site Report. Requires buyer email and site address. Checkout creation is not payment proof or report fulfillment.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailYes
addressYes
offer_keyYes
request_idNo
user_confirmed_paymentYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.1/5.0
Behavior4/5

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

Annotations cover read-only/idempotency/destructive safety, and the description adds meaningful context by requiring explicit human consent and clarifying that checkout creation does not constitute payment or fulfillment. This prevents the agent from treating the call as a final transaction, and there is no contradiction with 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 with the trigger front-loaded and no filler. The warning sentence adds essential behavioral nuance without bloating the description.

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?

There is no output schema, so the description should explain what the tool returns or what happens after checkout creation; it does not. It covers inputs and behavioral caveats well, but the missing return/next-step context prevents the agent from fully understanding the outcome of the call.

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 0%, so the description carries the semantic burden. It maps email and address, connects the two price points to the offer choices, and implies the user_confirmed_payment requirement. However, request_id is not explained)Skip and the link between 'human explicitly agrees to pay' and the user_confirmed_payment parameter is indirect.

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: 'prepare secure checkout' for the '$299 Preliminary Site Report or $750 Full Site Report.' It also distinguishes itself by noting checkout creation is not payment proof or report fulfillment, separating it from siblings like prepare_paid_handoff and get_aliev_purchase_status.

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 gives a clear trigger: use only 'after the human explicitly agrees to pay.' It also lists prerequisites (buyer email and site address) and an explicit limitation (not payment proof or report fulfillment). It does not name sibling tools as alternatives, so routing guidance is slightly incomplete.

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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