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List an event's ticket classes

eventbrite_list_ticket_classes
Read-only

List the ticket types of an event with price, capacity, quantity_sold and sales window. Eventbrite: GET /events/{event_id}/ticket_classes/.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
posNoOnly tickets valid for this point of sale.
categoryNoOnly this ticket category.
event_idYesEvent ID.
continuationNopagination.continuation from the previous page. Omit for the first page.

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

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, so the safety profile is covered and the bar is lower. The description adds only the underlying endpoint (GET /events/{event_id}/ticket_classes/), which is mild grounding context; it says nothing about pagination behavior, rate limits, or result size.

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?

Two compact sentences with the resource and returned fields front-loaded, no filler. The trailing endpoint reference is arguably redundant, keeping it just short of perfect.

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?

There is no output schema, and the description compensates by naming the fields returned (price, capacity, quantity_sold, sales window), which is exactly the missing context an agent needs. Pagination is covered by the schema's continuation parameter, so the only minor gap is that result size/ordering is not stated.

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%, with both enum parameters (pos, category) and the continuation parameter documented in the schema itself. The description adds no syntax or filtering semantics beyond what the schema provides, so the baseline 3 is appropriate.

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

Purpose4/5

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

States a specific verb and resource ('List the ticket types of an event') and enumerates the returned fields (price, capacity, quantity_sold, sales window), which is more than a restatement of the title. It does not explicitly contrast itself with create_ticket_class, update_ticket_class, or list_inventory_tiers, so sibling differentiation is left implicit.

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

Usage Guidelines3/5

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

Usage is implied: the required event_id and the 'of an event' phrasing make the context of use obvious. However, there is no explicit when-to-use or when-not-to-use guidance, and no mention of alternatives such as get_capacity or list_inventory_tiers that also surface capacity/ticket information.

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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