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Get Trending Events

ticketmaster.events.trending
Read-onlyIdempotent

Discover trending and popular events from Ticketmaster, filtered by country, category, and other parameters to find relevant entertainment options.

Instructions

Get trending and popular events sorted by relevance (Ticketmaster)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countryCodeNoISO 3166-1 alpha-2 country code (e.g. "US", "GB")
classificationNameNoEvent category filter (e.g. "Music", "Sports")
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?

The description adds that results are 'sorted by relevance'—useful behavioral context not present in annotations. However, with annotations already declaring readOnlyHint=true and idempotentHint=true, the description could have disclosed additional traits like the time window for 'trending' calculations, rate limits, or response structure, which are absent.

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 zero redundancy. Every word serves a purpose—identifying the operation (Get), the resource (trending and popular events), the sorting mechanism (relevance), and the provider (Ticketmaster).

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

Completeness3/5

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

Given the 100% schema coverage and comprehensive annotations covering safety/idempotency, the description is minimally adequate. However, gaps remain: no output schema description (what event fields are returned?), no explanation of the 'trending' algorithm/time window, and no pagination behavior details beyond the schema's existence.

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, the schema adequately documents all five parameters (countryCode, classificationName, size, page, locale). The description does not add parameter-specific semantics beyond what the schema provides, 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 clearly states the tool retrieves 'trending and popular events' using the verb 'Get' and identifies the Ticketmaster source. However, it lacks explicit differentiation from sibling tools like 'ticketmaster.events.search' or 'ticketmaster.events.nearby', which could help an agent understand when to prefer trending over general search.

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 alternatives. It does not mention that this is for discovery/discovery scenarios rather than targeted searches, nor does it reference sibling Ticketmaster tools that might be more appropriate for specific venue or artist lookups.

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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