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Get Event Categories

ticketmaster.events.categories
Read-onlyIdempotent

Retrieve event classification categories from Ticketmaster, including segments, genres, and sub-genres, to organize and filter events by type.

Instructions

Get all event classification categories — segments, genres, sub-genres (Ticketmaster)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sizeNoNumber of results per page (1-200, default 20)
pageNoPage number for pagination (0-based, default 0)
localeNoLocale for response (e.g. "en-us")
Behavior3/5

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

Annotations already declare read-only, idempotent, and non-destructive behavior. The description adds that it retrieves 'all' categories, hinting at the paginated nature of the response (consistent with size/page parameters), but does not disclose rate limits, authentication requirements, or the hierarchical structure of the returned data.

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?

The description is a single, efficient sentence with no redundant words. The parenthetical '(Ticketmaster)' is appropriate for disambiguation in a multi-provider server, and the em-dash separates the core action from the clarifying taxonomy levels effectively.

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?

Given the tool's narrow scope (listing taxonomy categories), the combination of clear description, complete input schema, and comprehensive annotations provides sufficient context for tool selection. The absence of an output schema is mitigated by the intuitive nature of a 'categories' endpoint, though explicit mention of the hierarchical response format would have improved this further.

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?

With 100% schema description coverage for all three parameters (size, page, locale), the schema fully documents the input semantics. The description adds no additional parameter context, meeting the baseline expectation for high-coverage schemas.

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?

The description uses a specific verb ('Get') and resource ('event classification categories'), and clarifies the scope by listing the taxonomy levels ('segments, genres, sub-genres'). This distinguishes it from sibling tools that retrieve actual events rather than the category taxonomy. However, it stops short of explicitly contrasting with event-search siblings.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus other Ticketmaster event tools (e.g., 'use this to discover category IDs before filtering events.search'). There are no stated prerequisites, exclusions, or workflow hints.

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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