create_video_from_url

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

Beyond annotations, the description discloses key behaviors: the video is fetched asynchronously, status transitions from 'processing' to 'ready', supports specific formats (mp4/quicktime) and size limits (2 GiB), and returns a video id. This adds significant operational context not evident from annotations.

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?

Three sentences, each fact-dense: purpose/endpoint, async behavior, and supported constraints/return. No redundancy or filler. Every sentence earns its place.

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 output schema and annotations, the description covers all essential aspects: what it does, how it behaves (async), constraints, and return value. It is sufficiently complete for an agent to decide when and how to invoke this 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?

Schema coverage is 100%, so parameters are already described. The tool description adds extra constraints (format and max size) on the URL parameter, going beyond the schema's description. This adds meaningful value despite high schema coverage.

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 uses a specific verb 'Register' and clearly names the resource ('a video from a public https URL') and mode ('URL-ingest'). It differentiates from sibling tools like create_analysis by specifying it creates a video resource rather than an analysis.

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 provides clear context: it is for URL-based video ingestion for analysis, and notes asynchronous fetching. It does not explicitly mention alternatives or when not to use, but the context is unambiguous and sufficient for tool selection.

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