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 are provided. The description discloses that the tool creates a checkout URL and that no AI agent login is needed. However, it does not mention potential side effects (e.g., does it create a temporary resource?), required permissions, or any idempotency guarantees. The disclosure is basic but adequate for a straightforward tool.
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 two sentences, front-loading the purpose and adding a key constraint (no login required). Every part is essential and efficient, with no fluff.
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 simple input (one parameter) and no output schema, the description covers the core function and a usage constraint. However, it does not mention return value (the URL) or error scenarios, which would be helpful for an agent. Still, it is mostly complete for the tool's complexity.
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?
The input schema has 100% description coverage, so the schema already documents parameters. The tool description adds value by clarifying that multiple products can be included ('one or more store products') and that it is for checkout, which helps the agent understand the context. This goes slightly beyond the bare schema.
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's action: 'Create a direct checkout URL for one or more store products (Wix Stores).' It specifies the resource (store products) and the result (a URL for payment). This 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.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description notes that 'no login required on the AI agent side,' clarifying a usage condition. However, it does not explicitly compare to alternatives or state when not to use this tool. The purpose alone differentiates it from most siblings, but explicit guidance is lacking.
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 on a specific resource (e.g., create_booking vs create_checkout vs reserve_event_tickets). Descriptions clearly differentiate purposes, and no two tools overlap in functionality.
All tool names follow a consistent verb_noun pattern in snake_case (e.g., get_availability, list_categories, search_dishes). Verbs like get, list, create, request, rsvp are used uniformly, making the set predictable.
28 tools is above the typical 3-15 range, but the server covers a broad domain (places, events, movies, booking, store, etc.). Each tool serves a clear purpose, so the count is justified for the scope.
The tool surface is extensive, covering searching, details, reviews, booking, events, menus, etc. Minor gaps exist (e.g., no cancel/update operations), but they are likely intentional given the user-facing nature of the server.
