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, the description carries full burden. It mentions that no login is required on the AI agent side, which is useful. However, it does not disclose whether the URL is temporary, if items are reserved, or any side effects beyond URL generation.
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?
Two concise sentences with front-loaded purpose. Every word adds value, no redundancy.
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?
For a simple tool with one parameter and no output schema, the description covers the key points: purpose, context (Wix Stores), and a behavioral note (no login). It could mention the URL format or expiration for completeness, but overall adequate.
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 minimal parameter context beyond the schema; it only reiterates 'for one or more store products' without adding new meaning.
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 it creates a direct checkout URL for store products, which is a specific verb+resource. It distinguishes from sibling tools like list_products or create_booking by focusing on payment checkout.
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?
No explicit guidance on when to use this tool versus alternatives. The note about no login required hints at context but does not define when this tool is appropriate or provide exclusions.
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 targets a distinct domain (e.g., booking, restaurant reservation, event RSVP, movie showtimes) with clear descriptions that prevent confusion. Overlapping verbs like 'create' are used for different resource types, and the descriptions explicitly distinguish their contexts.
All 28 tools follow a strict verb_noun pattern with underscores, e.g., create_booking, get_availability, list_events. No mixing of conventions or inconsistent verb styles.
28 tools is at the upper end of reasonable for a broad neighborhood directory server covering places, bookings, events, movies, store, forms, and more. While each tool serves a distinct purpose, the count feels slightly high for a single server.
The tool surface covers core discovery and booking initiation (search, detail, book, reserve), but lacks lifecycle operations like cancel, update, or list user's existing bookings. Several operations require external checkout or confirmation links, creating workflow gaps.