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Get Trending Events

ticketmaster.events.trending
Read-onlyIdempotent

Retrieve trending events by country, category, and page. Filter by classification and locale.

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")

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultNoTool response payload. Shape varies per tool — consult the tool description and inputSchema. May be an object, array, string, or number depending on the upstream provider response.
errorNoPresent only when the call failed. Includes error code, message, request_id, and any provider-specific extras.
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true, openWorldHint=true, so the safety profile is clear. The description adds no additional behavioral context beyond the basic purpose, which is adequate but does not go above what annotations provide.

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 (8 words) that conveys the core purpose without unnecessary text. It is perfectly concise.

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 that the input schema fully documents parameters and an output schema exists (not shown but present), the description provides enough context for an AI to use the tool. It lacks explicit details about the meaning of 'trending' or pagination, but the schema covers most needs. Completeness is slightly above average.

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?

Input schema has 100% coverage with descriptions for all parameters. The description does not add new meaning beyond the schema, which is acceptable given the high schema coverage. 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?

The description clearly states the tool returns 'trending and popular events sorted by relevance', which is a specific verb+resource combination. It distinguishes itself from sibling tools like ticketmaster.events.search or ticketmaster.events.nearby by focusing on trending events.

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?

No guidance is provided on when to use this tool versus alternatives. With many sibling event tools, explicit usage context (e.g., 'Use this for trending events, use search for general queries') would be helpful but is absent.

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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