Create YOLO ONNX tracker scaffold

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

Annotations already indicate this is a non-destructive, writable operation with potential external interaction. The description adds valuable behavioral context by specifying the exact operators it creates and the dependency on an external detector or validation, which goes beyond what the annotations provide. It does not fully disclose overwrite behavior or permissions, but the bar is lower due to existing 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?

The description is two sentences with high information density: the first sentence names the action and deliverables, and the second notes the critical live-detection dependency. Every word contributes value, with no redundancy.

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 complexity (10 parameters, creation tool, no output schema), the description adequately covers the scaffold's components and the external-runtime constraint. It could be enhanced by stating what the tool returns (e.g., container path or manifest), but this is not essential for a create operation that likely returns a standard result.

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?

All 10 parameters have full descriptions in the JSON schema (100% coverage), so the tool description does not need to add parameter-level detail. The description adds no extra semantics beyond the schema, making the baseline score of 3 appropriate.

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 a specific action ('Build a deterministic TouchDesigner scaffold') and resource ('YOLO-style object tracking'), and lists the concrete deliverables (source input, backend receiver placeholder, detections DAT, stable tracks_out CHOP channels, annotated_out TOP, setup notes). This clearly distinguishes it from sibling tools that handle other tracking types or general operator creation.

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 mentions that 'Live detection requires an external detector or validated TouchDesigner Python ONNX runtime,' which implies the tool is for scaffolding rather than producing a live tracking system. However, it does not explicitly name alternative tools or provide when-not-to-use guidance, so usage direction remains implicit rather than explicit.

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