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tm_search_attractions

Search for attractions and artists on Ticketmaster by keyword and classification. Retrieve relevant event data for your workflows.

Instructions

Search for attractions/artists on Ticketmaster.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keywordNo
classificationNameNo
api_keyNo
Behavior2/5

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

No annotations are present, so the description must disclose behavioral traits. It only states 'Search', implying a read operation, but fails to mention pagination, rate limits, or any constraints. The minimal description does not adequately inform the agent.

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

Conciseness3/5

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

The description is a single sentence, which is concise, but it lacks necessary detail for completeness. It does not earn its place fully because it omits crucial information, though it is not verbose.

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

Completeness1/5

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

With three parameters, no output schema, and no annotations, the description is far from complete. It fails to explain how parameters like 'classificationName' work, whether any parameters are required, or what the response contains. The tool is underspecified.

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

Parameters1/5

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

Schema description coverage is 0%, meaning the input schema provides no parameter descriptions. The description adds no meaning to the three parameters (keyword, classificationName, api_key), so the agent must guess their purpose and format. This is a critical gap.

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

Purpose3/5

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

The description states the tool searches for attractions/artists on Ticketmaster, providing a clear verb and resource. However, it does not differentiate from sibling tools like tm_search_events or tm_search_venues, which are similarly named. The lack of scope or distinguishing details reduces clarity.

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. There is no mention of appropriate contexts, exclusions, or comparisons to other search tools, leaving the agent without decision support.

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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