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 discloses that no login is required on the AI side and that the tool creates a URL for user payment. However, it omits details like expiry, failure modes, or side effects, which are important for safe invocation.
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-loads the core action, and contains no unnecessary words. It efficiently conveys the tool's purpose and a key behavioral trait.
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 (one parameter, no output schema), the description covers purpose, output type (URL), and a behavioral constraint (no login). It could mention the response format or URL lifetime, but it is largely adequate for an agent to use effectively.
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 explains parameters well. The description adds no further parameter-specific meaning beyond 'one or more store products', so baseline 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 identifies the action ('Create'), the resource ('direct checkout URL'), and the context ('for one or more store products (Wix Stores)'). It distinguishes itself from siblings by focusing on checkout creation, a specific process not shared by other tools.
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 implies usage context by stating 'no login required on the AI agent side', but it lacks explicit guidance on when to use this tool versus alternatives (e.g., using list_products to get product IDs beforehand). The purpose is clear enough for an agent to infer appropriate use.
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 clearly distinct purpose, even among similar actions like booking, reservation, and ticket purchase—their descriptions clarify the domain and flow. No two tools could reasonably be confused.
All tool names follow a consistent verb_noun pattern in snake_case (e.g., create_booking, get_availability, list_blog_posts). There are no deviations or mixed conventions.
At 28 tools, the surface is larger than ideal for a single server, but each tool covers a distinct feature of the neighborhood directory (bookings, events, store, etc.). It borders on heavy but is still manageable for an agent.
The tool set covers the full lifecycle of browsing and acting on a neighborhood directory: search, details, reviews, menus, events, booking, reservations, store, loyalty, and more. No obvious gaps exist for the intended use case.