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list_tickets

Read-only

List individual attendee tickets from paid event bookings on the Checkout Page account - one record per attendee, with full check-in history and per-ticket revenue allocation. Pass livemode: false to read test-mode records. Use it for guest lists, door and check-in questions, and locating a named attendee. Each ticket carries checkInCode, the opaque check-in credential to encode when rendering the ticket QR code. Read-only; a booking produces several tickets, so for the order or payment behind them query list_bookings by bookingId.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNumber of records per page (integer, max 100, default 10).
pageIdNoReturn only tickets for a single event page. Use this to build a guest list for one event.
searchNoCase-insensitive search matched against `attendeeEmail`, `attendeeName`, `ticketShortId` and `orderId`. The query is routed based on input shape: email-like inputs (`jane@example.com`) match `attendeeEmail` only; an 8-digit input (`64819115`) is treated as a whole order reference and matched exactly against `orderId`; other identifier-like inputs containing a digit, underscore or hyphen match `ticketShortId` and `orderId`; multi-word inputs match `attendeeName` and `ticketShortId`; any other single bare word falls back to a broad substring match across `attendeeName`, `attendeeEmail` and `ticketShortId`. Best default when the guest is identified by name, email, or the code on their ticket. A booking produces one ticket per attendee - always review all matches, not just the first.
statusNoFilter by ticket status. Valid values: PAID, CANCELED. Use "PAID" for tickets valid for admission and "CANCELED" for voided ones. An unfiltered list includes both.
orderIdNoExact match on the order reference shared by every ticket in a booking. Partial values do not match — use `search` for that.
livemodeNoSet to false to read test-mode records (created while a page was in test mode). Defaults to live records.
bookingIdNoReturn the tickets created by one booking. Use when you already have the booking from the bookings endpoint and want the individual attendee tickets.
customerIdNoReturn every ticket booked by one customer, across events. Useful when you already have the customer record.
createdAfterNoInclusive lower bound on ticket createdAt. ISO-8601 UTC datetime with the `Z` suffix (e.g. `2026-01-01T00:00:00Z`). Never use a local timezone offset — tickets are stored and compared in UTC.
ticketTypeIdNoReturn only tickets of one ticket type (e.g. VIP). Combine with `pageId` when the same type name exists on several events.
checkInStatusNoFilter by check-in state. Valid values: UNCHECKEDIN, CHECKEDIN. "CHECKEDIN" returns guests currently admitted; "UNCHECKEDIN" returns both guests who were checked back out and guests who have never been checked in.
createdBeforeNoInclusive upper bound on ticket createdAt. ISO-8601 UTC datetime with the `Z` suffix (e.g. `2026-12-31T23:59:59Z`). Never use a local timezone offset — tickets are stored and compared in UTC.
ending_beforeNoCursor-based pagination. Pass a record `id` to return results before it. Cannot be used with `starting_after`.
starting_afterNoCursor-based pagination. Pass a record `id` to return results after it. Cannot be used with `ending_before`.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYes
totalYesTotal number of records matching the query across all pages.
has_moreYesWhether more records exist beyond the current page.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.6/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already cover the read-only safety profile, but the description adds real behavioral context beyond them: one record per attendee, cardinality (a booking produces several tickets), full check-in history and per-ticket revenue allocation, the checkInCode credential's purpose, and livemode test-vs-live behavior. This is genuinely useful disclosure.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with the core purpose and one-record-per-attendee scope, then use cases, then the sibling routing. It is dense but nearly every sentence carries signal; slightly long but not padded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With 14 optional filters fully documented in the schema, an output schema present, and annotations covering safety, the description adds exactly the missing pieces: ticket cardinality, the checkInCode semantics, and the list_bookings handoff. Nothing an agent needs to call it correctly is absent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so every parameter is already documented in the schema (including the elaborate search routing and date bounds). The description only restates livemode and mentions checkInCode, adding little parameter meaning beyond structured fields; baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource with clear scope: individual attendee tickets from paid event bookings, one record per attendee. It explicitly differentiates itself from list_bookings (for the order/payment behind the tickets) and update_ticket, so an agent can route without opening schemas.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Names concrete use cases (guest lists, door/check-in questions, locating a named attendee) and gives an explicit routing rule: for the order or payment behind the tickets, query list_bookings by bookingId. When-to-use and the alternative are both stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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