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?
Discloses return data: ticket names, prices, sale status, quantity left. Implies read-only operation. No annotations, so description adequately covers behavioral traits.
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 no wasted words, front-loaded with purpose. Efficiently conveys all necessary information.
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 simple tool with one parameter and no output schema, the description fully covers input source and return data. No gaps.
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 description coverage is 100% for event_slug. Description adds value by specifying the source (list_events) and that it is a slug, beyond the schema's minimal description.
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?
Clearly states the verb 'get' and resource 'ticket types and prices for a specific event'. Distinguishes from sibling tools like reserve_event_tickets and list_events.
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?
Instructs to pass the event slug from list_events, providing clear prerequisite guidance. Does not explicitly state when not to use, but context implies it's for reading ticket info.
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.