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

No annotations exist, so the description carries the full behavioral burden. It usefully discloses the breadth of returned data (release schedule, delay history, videos, news links), but says nothing about auth, rate limits, error cases, or whether the result is a single record vs. a ranked list. Adequate but incomplete for an unannotated tool.

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 sentence front-loaded with a bracketed database tag followed by the operation and its output fields. No filler; every clause carries information.

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 must carry the return-value and safety load. It does list the data fields, which partly substitutes for an output schema, but omits behavioral constraints and leaves the sibling ambiguity (lookup_any_game) unresolved.

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 coverage is 0% – the single parameter 'q' is entirely undocumented in the schema. The description compensates by explaining that Chinese or English names both work, with concrete examples (GTA VI, 俠盜獵車手VI), which materially shapes how the agent fills that parameter.

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?

States a specific verb (查/look up) and resource (單一遊戲/single game) and enumerates the returned data types: developer/publisher, platforms, first-public date, release schedule and delay history, trailers, news links. It is clear what it does, but it never distinguishes itself from the near-duplicate sibling games__lookup_any_game.

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?

There is no when-to-use guidance, no prerequisites, and no routing to alternatives. The phrase 查單一遊戲 implies lookup semantics, but with siblings like games__lookup_any_game and games__list_games present, the absence of any disambiguation leaves the agent guessing which tool to pick.

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