Get ticket types and prices for a specific event (Wix Events). Pass the event slug from list_events. Returns ticket names, prices, sale status, and how many are left.
| Name | Required | Description | Default |
|---|---|---|---|
| event_slug | Yes | Event slug from list_events. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description carries full burden. It describes what is returned (ticket names, prices, sale status, remaining quantity) but does not disclose behavioral traits like idempotency, side effects, authentication, or rate limits.
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 sentences, no fluff. First sentence states purpose and context, second details return data. Perfectly concise and front-loaded.
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 low complexity (1 param, no output schema), the description covers how to use the tool and what it returns. It lacks error cases but is adequate for the tool's simplicity.
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 has 100% coverage for 1 parameter. Description adds value by specifying the source ('from list_events') beyond the schema description, clarifying how to obtain the slug.
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 gets ticket types, prices, sale status, and remaining quantity for an event, using specific verbs and resources. It distinguishes from siblings like reserve_event_tickets by focusing on retrieval rather than booking.
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?
Explicitly mentions prerequisite: 'Pass the event slug from list_events.' This implies when to use after listing events, though it does not explicitly state when not to use or list alternatives.
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 (bookings, store, events, restaurants, movies, etc.) with detailed descriptions that clearly differentiate their purposes. Overlap is minimal and handled by context, such as create_booking vs create_checkout vs request_reservation.
All tools follow a consistent verb_noun pattern in snake_case, using prefixes like get_, list_, create_, search_, etc. The naming is predictable and makes it easy to infer the action and resource.
28 tools is above the typical well-scoped range, but each tool covers a distinct feature of the neighborhood directory (places, events, movies, blog, forms, etc.). The count reflects the integration of multiple Wix apps, which is appropriate for a comprehensive directory.
The tool set covers most user-facing operations for a directory: search places, get details, book services, events, restaurant menus, etc. Minor gaps exist (e.g., no cancellation for bookings, no update operations), but these are likely out of scope for a public-facing server.
