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

With no annotations, the description carries the full behavioral burden. It usefully discloses the payload facets (organizer, key dates, Chinese team info, Taiwan broadcast sources), which implies a read-only lookup, but never states it is read-only, nor mentions permissions, caching, or failure behavior for unknown event names.

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?

One dense, front-loaded sentence opens with the database scope in brackets, then the action, then the payload and input flexibility. No filler, though the bracketed tag and long field list make it heavier than strictly necessary.

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?

With no output schema and no annotations, the description does cover the return facets and input language flexibility, which is a lot of the needed context. However, in a sibling set containing near-duplicate sports lookups, the omission of any disambiguation guidance leaves a real gap for an agent choosing between tools.

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?

The single parameter q has 0% schema description coverage, so the description must compensate — and it does, stating that both Chinese and English names are accepted and giving four concrete example values. It does not specify matching behavior (fuzzy vs exact) or ambiguity handling, keeping it below 5.

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 states a specific verb+resource, 查單一賽事 (look up a single event), and enumerates the returned data facets (date, location, organizer, key dates, Chinese team info, broadcast platforms). It implicitly separates itself from list-style siblings via 單一, but does not name the closely-related sports__lookup_any_sports_event or sports__list_sports_events, so sibling differentiation is incomplete.

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?

Usage is only implied: you supply a Chinese or English event name and get one event back, with examples (世界12強, 台灣大賽, TPBL, LA28) clarifying input form. There is no explicit statement of when to prefer this over sports__lookup_any_sports_event or sports__list_sports_events, and no exclusions or prerequisites.

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