Search-Movie

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions support for batch validation ('支持批量验证多个链接') and that only validated links ensure viewability, but it fails to describe critical behaviors such as error handling, rate limits, authentication needs, or what constitutes a 'valid' link. This leaves significant gaps for a tool that performs validation operations.

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?

The description is appropriately sized and front-loaded, with three sentences that each add value: stating the tool's purpose, detailing input parameters, and explaining the outcome. There is no redundant or unnecessary information, making it efficient and well-structured for quick comprehension.

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?

Given the tool's moderate complexity (validation with batch support), no annotations, and no output schema, the description is partially complete. It covers the basic purpose and input semantics but lacks details on behavioral traits (e.g., error responses, validation criteria) and output format, which are crucial for effective tool invocation by an agent.

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 schema description coverage is 0%, so the description must compensate. It adds meaningful context by specifying that the 'url' parameter accepts '视频播放页面的 URL 或 URL 数组' (video playback page URLs or arrays of URLs) and clarifies its purpose for playability validation. This goes beyond the bare schema, providing essential semantic information for the single 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?

The description clearly states the tool's purpose with specific verbs ('验证', '返回') and resources ('视频链接的可播放性', '视频播放页面的 URL 或 URL 数组'). It distinguishes itself from the sibling tool 'search_movie' by focusing on URL validation rather than content search, making the purpose unambiguous and well-defined.

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?

The description implies usage context by stating '只有通过验证的链接才能确保用户可以观看', suggesting it should be used to ensure video playability. However, it lacks explicit guidance on when to use this tool versus alternatives (e.g., compared to 'search_movie') or any prerequisites for usage, leaving some ambiguity for the agent.

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