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 data provenance (Wikidata public data), which tells the agent about freshness and coverage limits, but says nothing about no-match behavior, ambiguity handling, or latency/rate limits.

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 dense sentence with a bracketed category tag front-loading the domain. Every clause adds information; nothing is wasted, though the bracketed tag is slightly unnatural.

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 list the returned fields, which is helpful. However it omits how to form the query, how ambiguous titles resolve, and what happens when Wikidata has no match — gaps that matter for a 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 it — no indication of whether it accepts a title string, an ID, a language variant, or how to disambiguate. The description compensates with zero parameter detail.

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?

Names a specific verb (look up) and resource scope (any movie, series, or anime) plus the concrete fields returned (release date, director, production company, platform, official site, YouTube). The word 'any' implicitly distinguishes it from the ID-oriented sibling screen__get_title, but the differentiation is not made explicit.

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: 'look up any title' suggests a fuzzy name-search use case opposed to get_title/list_titles, but no alternatives are named and there is no when-to-use or when-not-to-use guidance. An agent must infer the routing from the name alone.

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