Compare ticket prices for an event across marketplaces (Ticketmaster, Gametime, StubHub, Vivid Seats...). Gametime prices are fetched LIVE. Returns buy links sorted cheapest first.
| Name | Required | Description | Default |
|---|---|---|---|
| event_id | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It discloses that Gametime prices are fetched LIVE and results are sorted, but fails to mention error handling, authentication needs, or the read-only nature. Adequate but not comprehensive.
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?
The description is two sentences with no redundancy, front-loading the core purpose and adding key details about live pricing and sorting. Every word 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?
Given the simple nature of the tool (1 param, no output schema), the description covers the main purpose and key behaviors. However, it lacks explanation of the parameter semantics and return format (what the buy links contain). Adequate but with clear gaps.
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 0% for the single parameter event_id. The description does not explain what event_id is, its format, or how to obtain it (e.g., from get_event). This is a critical gap as the agent has no guidance on providing a valid input.
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 clearly states the tool compares ticket prices across multiple named marketplaces and returns buy links sorted cheapest first. This specific verb+resource combination distinguishes it from siblings like get_event (event details) or search_events (event discovery).
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?
The description implies the tool is for comparing ticket prices across marketplaces but does not explicitly state when to use it versus alternatives, nor does it mention when not to use it or any prerequisites. Usage is clear from context but lacks explicit guidance.
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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Each tool has a clearly distinct role: venue finders (bars, museums), event search, ticket price comparison, event details, change history, taxonomy, and a curated nightly snapshot. While find_bars and search_events could theoretically overlap for nightlife, the descriptions explicitly scope them to venues vs. events, eliminating ambiguity.
The tool names mostly follow a verb_noun pattern: find_* for venue discovery, get_* for retrieval, search_events for event search. However, `whats_on_tonight` breaks the pattern with an idiomatic phrase, and `find` vs `search` are used interchangeably for discovery, causing minor inconsistency.
With 8 tools, the server is well-scoped for an LA event discovery service covering search, venue lookups, ticket prices, history, taxonomy, and a nightly roundup. Each tool earns its place without redundancy or bloat.
The tool surface covers the full read-only lifecycle: searching events, finding bars and museums, retrieving event details, comparing ticket prices, viewing historical changes, and exploring taxonomy tags. For its stated purpose of providing a synoptic LA event view, there are no significant gaps.