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Nudge Model Roll

nudge_model_roll

Adjusts 3D model rotation around the Z axis by specified degrees, automatically refreshing state for accurate adjustments after manual interactions.

Instructions

Adjust the model roll (Z axis rotation) relative to current rotation. Positive values rotate clockwise. This tool automatically queries fresh state before performing the adjustment to ensure accuracy, even if the user has manually interacted with the model.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
degreesNoAmount to adjust roll in degrees (defaults to 5°, positive = clockwise)
Behavior4/5

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 effectively describes key behaviors: it's a mutation tool (implied by 'adjust'), it queries fresh state before adjusting to ensure accuracy, and it handles manual user interactions. However, it doesn't mention error conditions, rate limits, or permission requirements.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is perfectly concise with two sentences that each earn their place. The first sentence states the core purpose and directionality, while the second adds important behavioral context about state management. No wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a single-parameter mutation tool with no annotations and no output schema, the description provides good coverage of what the tool does and its key behavioral trait (fresh state querying). However, it doesn't describe what happens on success/failure or return values, which would be helpful given the lack of output schema.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already fully documents the 'degrees' parameter. The description adds minimal value beyond the schema by reinforcing that positive values rotate clockwise, but doesn't provide additional semantic context about parameter usage or constraints.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

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 a specific verb ('adjust'), resource ('model roll'), and scope ('relative to current rotation'). It distinguishes from sibling tools like 'rotate_model_clockwise' by specifying it's a relative adjustment on the Z axis rather than an absolute rotation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides clear context for when to use this tool ('adjust the model roll relative to current rotation'), but doesn't explicitly mention when not to use it or name alternatives like 'set_model_rotation' for absolute rotations. The context is sufficient but lacks explicit exclusions.

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

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