retexture_to_bottube

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

No annotations are provided, so the description must fully disclose behavior. It states the tool 'always returns a dict' and is 'one-shot', but does not explain what the dict contains, whether the operation is asynchronous (returning a task ID), or how errors are handled. This leaves critical gaps for an AI agent.

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 concise, with two sentences that efficiently convey the core pipeline and a use case. However, the extreme brevity sacrifices necessary detail for parameter understanding, making it less effective overall.

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 14 parameters, no output schema, and a complex pipeline (retexture + turntable + upload), the description is severely incomplete. It does not explain which inputs are essential (e.g., model_url or input_task_id), the meaning of video parameters, or the structure of the return value. An agent cannot reliably invoke this tool based solely on the description.

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 0%, and there are 14 parameters. The description provides no explanation for any parameter beyond their names. For example, the required 'title' parameter is not elaborated, and parameters like 'frames', 'resolution', 'fps', 'duration' are ambiguous (likely for the video but not specified). The agent cannot determine proper values without additional context.

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 performs a one-shot retexture of an existing model, generates a turntable animation, and produces a BoTTube video. It specifically mentions its use for publishing texture variants, distinguishing it from sibling tools like retexture_model (which likely only retextures) and upload_to_bottube (which uploads existing content).

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 a use case ('great for publishing texture variants of one model') but does not specify when to avoid using this tool or suggest alternatives among the many siblings (e.g., animate_to_bottube, image_to_bottube). Usage context is implied but no explicit guidance on selection.

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