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apply_transforms

Apply location, rotation, and scale transforms to an object, freezing them as the new base transforms. Resets transform deltas to zero.

Instructions

Apply (freeze) transforms on an object, making current transforms the new basis.

Args: name: Name of the object. location: Apply location transform. Defaults to True. rotation: Apply rotation transform. Defaults to True. scale: Apply scale transform. Defaults to True.

Returns: Confirmation dict.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
locationNo
rotationNo
scaleNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description must bear the full burden. It only states that transforms are applied/frozen, without disclosing side effects like irreversibility, impact on child objects, constraints, or animation data. This is a significant gap for a mutation tool.

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 concise: a one-line summary followed by a clean parameter list. Every sentence is informative, with no redundancy or filler. It is well-structured and front-loaded.

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

Completeness3/5

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

The description explains the core operation and parameters, and the output schema is noted. However, it lacks essential operational context such as required object mode, effect on animation, undo capability, and prerequisites. This makes it adequate but not fully complete for safe and effective use.

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

Parameters4/5

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

Schema description coverage is 0%, requiring the description to compensate. The docstring clearly explains each parameter's purpose (e.g., 'location: Apply location transform.') and defaults. This adds meaningful context beyond schema titles and default values.

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 'Apply (freeze) transforms on an object, making current transforms the new basis.' It uses a specific verb ('apply/freeze') and resource ('object transforms'), distinguishing it from sibling tools like 'set_location' or 'apply_modifier'.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool vs alternatives such as 'set_location' or 'apply_modifier'. It does not mention prerequisites, modes, or typical use cases, leaving the agent without context for proper invocation.

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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