ticketmaster_attraction_reviews

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

With no annotations, the description carries the full burden of behavioral disclosure. It discloses pagination, the aggregate rating, and Ticketmaster's AI-generated summary, which are useful behavioral traits. It does not explicitly state read-only semantics, but 'List' strongly implies a non-mutating operation, and no side effects are suggested.

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

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

Two sentences with no filler. The first sentence states the core action, the second adds the key response details (paginated, aggregate rating, AI summary). Information is front-loaded and every clause earns its place.

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

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

For a tool with no output schema and no annotations, the description adequately covers the main return components: fan reviews, aggregate rating, AI summary, and pagination. It doesn't describe individual review fields or error behaviors, but these are less critical for a simple list endpoint. The schema covers the required attraction id format.

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

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

Schema description coverage is 100% for all three parameters, with detailed descriptions for id, limit, and offset. The tool description adds no parameter-level detail beyond what the schema already says, but it does corroborate the the limit/offset semantics by mentioning pagination. Baseline 3 is appropriate.

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

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

The description opens with a specific verb and resource: 'List a Ticketmaster attraction's fan reviews.' It further narrows scope to a single attraction and states what the response includes (reviews, aggregate rating, AI summary), distinguishing it from siblings like ticketmaster_attraction_events and ticketmaster_attraction.

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

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

No explicit guidance is provided on when to use this tool versus alternatives such as ticketmaster_attraction, ticketmaster_attraction_events, or other Ticketmaster review tools. The phrase 'for one attraction' gives minimal context, but there are no stated exclusions, preconditions, or alternative routing hints.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.