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List orders

eventbrite_list_orders
Read-only

List orders of one event OR of all of an organization's events: buyer name/email, status, costs. Pass exactly one of event_id / organization_id. Eventbrite: GET /events/{event_id}/orders/ or GET /organizations/{organization_id}/orders/.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
expandNoComma-separated expansions, e.g. venue,organizer,ticket_classes (Expansions v1 `expand=`).
statusNoactive = attending orders, inactive = not attending, both, or all_not_deleted.
event_idNoEvent ID — list this event's orders.
continuationNopagination.continuation from the previous page. Omit for the first page.
changed_sinceNoOnly orders changed on or after this time, in UTC, e.g. 2026-12-01T02:00:00Z.
organization_idNoOrganization ID — list orders across all its events.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, and the description adds the concrete endpoint mapping (GET /events/{event_id}/orders/ vs GET /organizations/{organization_id}/orders/) plus the field set returned. It does not describe pagination flow (only the schema's continuation field does), so it is good but not exhaustive.

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

Conciseness5/5

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

Two tight sentences: scope and returned fields first, the parameter rule second. Zero filler, fully front-loaded.

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

Completeness4/5

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

For a read-only list tool with no output schema, it covers scope, returned fields, and the identifier rule; pagination and expansions are handled by the schema. Nothing critical is missing, though a note on pagination expectations would round it out.

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

Parameters4/5

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

Schema coverage is 100% so the baseline would be 3, but the description adds the mutually-exclusive constraint between event_id and organization_id that the schema does not express, plus the notion of scope per identifier. The remaining params (expand, status, continuation, changed_since) are left to the schema.

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 (List) and resource (orders) with two clearly delineated scopes: one event vs. all events of an organization. It also enumerates the returned fields (buyer name/email, status, costs) and maps to the exact REST endpoints, making it easy to distinguish from the singular eventbrite_get_order sibling.

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

Usage Guidelines4/5

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

The directive 'Pass exactly one of event_id / organization_id' is a crisp, actionable rule that tells the agent which parameter shape selects which scope. It lacks an explicit pointer to alternatives such as eventbrite_get_order for a single order, so it falls just short of a full when/when-not treatment.

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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