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

No annotations are provided, so the description carries the full behavioral burden. It discloses the useful provenance detail that results come from Wikidata public data, but says nothing about authentication, rate limits, error/not-found behavior, or the shape of results. For an unannotated tool, this leaves significant behavioral gaps.

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 compact sentence with the database label front-loaded and the returned fields enumerated after. It is efficient and well-organized, though the bracketed database tag is somewhat redundant packaging rather than actionable content.

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 only one input, no output schema, and no annotations, the description does list the fields an agent can expect, which partially compensates for the missing output schema. But it omits the input format and any behavioral details, so it is only minimally adequate for an unannotated lookup tool.

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, and the description never explains its expected format (a title string? a Wikidata Q-id? a query?). It only weakly implies that the input is a title, so the agent must guess how to construct a valid value.

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 gives a specific verb (查/look up) and resource (any movie, series, or animation), and enumerates the returned fields (release date, director, production company, platform, official site, YouTube). It also names its data source (Wikidata), which helps scope it. However, it never differentiates itself from siblings like screen__get_title or screen__list_titles, leaving the agent to guess the 'any' vs single-title distinction from the name alone.

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 sibling routing guidance. The phrase 'any title' loosely implies breadth (helps when unsure of exact edition), but the agent gets no signal on choosing this over screen__get_title, screen__list_titles, or screen__release_calendar.

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