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?
No annotations provided, so the description must fully convey behavioral traits. It mentions 'no login required' but does not disclose side effects (e.g., temporary order creation), stock requirements, or error scenarios. Minimal transparency.
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 a single, clear sentence that immediately conveys the tool's purpose without fluff. Every word is necessary.
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 tool's simplicity and no output schema, the description provides enough to understand basic functionality. However, it lacks details on output format (the URL) and potential errors, making it adequate but not complete.
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 coverage is 100% with descriptions for each parameter. The description adds no extra meaning beyond the schema, so baseline score of 3 is appropriate.
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, specifying the resource (checkout URL) and verb (create). It also distinguishes from siblings like list_products by focusing on checkout creation.
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 mentions 'no login required on the AI agent side' providing some context, but lacks explicit guidance on when to use this tool versus alternatives like submit_form or other payment tools. No exclusions or when-not-to-use advice.
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 action and resource, such as booking, checking availability, listing events, or searching dishes. No two tools appear to overlap in purpose, and descriptions clearly differentiate them.
All tools follow a consistent verb_noun pattern (e.g., create_booking, get_availability, list_events, search_places). The prefixes (create, get, list, search, request, reserve, rsvp, submit) are uniformly applied, and there is no mixing of cases or styles.
With 28 tools, the server covers a broad feature set for a neighborhood directory, including bookings, store, events, loyalty, menus, movies, and more. While slightly high, each tool serves a distinct purpose and is justifiable.
The tool surface appears complete for the domain: search, details, booking flows, store purchases, events, loyalty, reviews, blog, offers, profiles, forms, and FAQ are all covered. There are no obvious dead ends, and operations for CRUD or lifecycle are present where needed.