get_video_model_fields

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

With no annotations provided, the description must fully disclose behavioral traits. It only indicates a read-like operation ('Discover...'), but omits any details about permissions, side effects, rate limits, or behavior when parameters like model_id or capability are omitted. This is insufficient for an AI agent to understand the tool's side effects.

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 a single sentence that efficiently conveys the core purpose. It is front-loaded and avoids redundancy, though it could benefit from structured detail about the workflow it references ('step 1 of 3').

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 has three parameters (one required, two enums) and no output schema, the description is too sparse. It does not explain the return format, the meaning of 'step 1 of 3', or how the parameters relate to the discovery process, leaving significant gaps for an AI 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?

Schema description coverage is 100%, so the input schema already documents all three parameters. The description adds no additional meaning beyond what the schema provides, hitting the baseline of 3.

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 states the verb 'discover' and the resource 'model field schema', clearly indicating the tool retrieves schema information. However, the phrase 'step 1 of 3' adds workflow context but does not clarify the subsequent steps, and there is no explicit differentiation from sibling tools, though no direct sibling exists.

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 does not specify when to use this tool versus alternatives, nor does it provide context about prerequisites or exclusion criteria. The phrase 'step 1 of 3' vaguely implies a sequence but lacks actionable guidance for an AI agent.

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