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 exist, so the description carries the full burden. It discloses the return fields (ticket names, prices, sale status, quantity left) and uses 'Get' implying a read-only operation. While it doesn't explicitly state no side effects or mention authentication/rate limits, the description is fairly transparent for a simple read operation.
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 with zero waste. The first sentence states the purpose and tool category, the second provides usage instructions and output details. Efficient 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?
For a tool with a single parameter and no output schema, the description provides complete context: what input is needed, where to get it, and what the output contains. No gaps remain.
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 a clear description for event_slug. The description repeats the schema's guidance to use the slug from list_events, adding no new meaning beyond what the schema already provides. 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 states the action ('Get'), the resource ('ticket types and prices for a specific event'), and the scope ('Wix Events'). It distinguishes from sibling tools like list_events and reserve_event_tickets by specifying the input source (event slug from list_events) and the output type (ticket info).
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 tells the user to pass the event slug from list_events, providing a clear usage step. While it doesn't explicitly state when not to use, the context implies this is for viewing ticket details before booking, effectively guiding the AI agent.
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.