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.
| Name | Required | Description | Default |
|---|---|---|---|
| items | Yes | Products to add to cart. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden. It mentions that the user clicks the URL to complete payment and that no login is required on the AI agent side. However, it lacks details on side effects, session expiration, or authorization requirements.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise with two sentences, front-loading the purpose. Every word adds value, with no unnecessary information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the absence of an output schema, the description should specify the return value (the checkout URL). It also omits prerequisites, error conditions, and links to related tools like list_products.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so baseline is 3. The description adds no additional information beyond what the schema already provides for parameters like productId and quantity.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool creates a direct checkout URL for one or more store products, using a specific verb and resource. It distinguishes itself from sibling tools like create_booking by focusing on checkout URL generation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description does not provide explicit guidance on when to use this tool versus alternatives, nor does it mention when not to use it. The usage context is only implied through purpose.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool has a clear, distinct purpose. Tools like create_booking and request_reservation target different services (appointments vs. restaurant tables), and reserve_event_tickets vs. rsvp_event differentiate paid holds from free RSVPs. No overlapping functionality that would confuse an agent.
All tool names follow a consistent verb_noun pattern (e.g., create_booking, list_events, search_dishes) using lowercase with underscores. No mixing of conventions or irregular verbs.
28 tools cover a broad domain of neighborhood directory services (bookings, events, movies, restaurant menus, forms, etc.). While the count is slightly high, each tool serves a specific function and is justified by the domain scope.
The tool set provides comprehensive coverage for a neighborhood directory: search, booking, reservations, event management, menus, reviews, forms, loyalty, and more. No obvious gaps; all core user needs are addressed.
