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create_checkout

Create a direct checkout URL for one or more store products (Wix Stores). The user clicks the URL to complete payment on the site — no login required on the AI agent side.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemsYesProducts to add to cart.

TDQS

A4/5.0
Behavior3/5

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

No annotations are provided, so the description must disclose behavior. It mentions 'no login required' which is helpful, but it does not describe side effects (e.g., whether it charges, reserves stock) or response details, leaving some ambiguity.

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?

A single, well-structured sentence that conveys the core purpose and user interaction without unnecessary details.

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?

Given the tool has only one parameter and no output schema, the description is fairly complete. It explains the outcome (a URL) and the user's role, though it could mention what happens after URL creation or error handling.

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%, so the schema adequately defines the 'items' parameter. The description adds little beyond 'one or more store products', which is already clear from the schema.

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 action 'Create a direct checkout URL' and the resource 'one or more store products (Wix Stores)', which is specific and distinguishes it from sibling tools like 'create_booking' or 'list_products'.

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 description provides useful context: 'The user clicks the URL to complete payment on the site — no login required on the AI agent side.' This implies when to use (for generating a payment link) but lacks explicit when-not or alternative 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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TDQS

A4.2/5.0
Disambiguation5/5

Each tool targets a distinct action and domain, with clear descriptions preventing confusion. Similar tools like create_booking, request_reservation, reserve_event_tickets, and rsvp_event are differentiated by service type and workflow.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern in snake_case (e.g., create_booking, get_availability, list_categories), ensuring predictability and ease of use for agents.

Tool Count4/5

With 28 tools, the set is fairly large but appropriate for a comprehensive neighborhood directory covering multiple domains (places, events, booking, store, forms, etc.). Each tool serves a distinct purpose without redundancy.

Completeness5/5

The tool surface covers the full lifecycle of common user needs: search and discovery, detailed info, reservations, purchases, and interactions (forms, FAQs). No obvious gaps for the described purpose of a neighborhood directory.

Resources