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

With no annotations, the description carries the full behavioral burden, yet it only describes content. It says nothing about return shape (video links vs metadata), freshness, pagination, or whether zone/brand are required filters. The '[NEW玩具情報站]' prefix is marketing framing, not behavioral disclosure.

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?

A single front-loaded sentence with the resource stated first and the brand list as supporting detail. Efficient, though the bracketed label is slightly promotional rather than informational.

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 three parameters, no required fields, no annotations, and no output schema, the definition is thin. It omits the action verb, the distinction from toys__official_toy_news, filter semantics, and any indication of what a result contains.

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 33% (only 'brand' is documented, and only as the tautology '品牌名稱'), so the description should compensate but does not. The brand enumeration loosely hints at valid brand values, but zone's enum meaning and limit's cap are never explained beyond what the schema already shows.

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 names a clear resource — latest new-product videos from official brand YouTube channels — and enumerates the brands covered. However it never supplies a verb (list/fetch/watch) and does not distinguish itself from the near-identical sibling toys__official_toy_news, leaving the agent to guess the action and the boundary.

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, when-not-to-use, or alternative-tool guidance at all. The closest sibling, toys__official_toy_news, is not mentioned, so an agent has no signal for choosing between the video feed and the news feed.

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