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apply_transform

Applies object transforms by resetting location, rotation, and scale to identity while preserving world position. Use this to bake transform values without moving or resizing the object.

Instructions

Apply (bake) transforms — resets values to identity while keeping world position.

Args: name: Object name. location: Apply location. rotation: Apply rotation. scale: Apply scale.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
scaleNo
locationNo
rotationNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv3.0.0

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations, the description carries disclosure responsibility. It does add the key behavioral fact that world position is preserved while transform values reset, which is more transparent than a bare 'apply'. However, it does not mention whether the operation is destructive to object data, affects children or constraints, or requires a particular mode.

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 one-line core behavior is front-loaded and the argument list is compact with no boilerplate. Every sentence earns its place and the structure is easy to scan.

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?

For a 4-parameter tool with no annotations and no output schema, the description covers the core operation but leaves usage context and parameter behavior implicit. It is a minimum viable definition, adequate for straightforward calls but with clear gaps around side effects and when to use it.

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

Parameters2/5

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

Schema description coverage is 0%, so the parameter descriptions needed to carry weight, but they mostly restate the property names: 'location: Apply location.' The glosses don't explain how true/false toggles each component or the implication of leaving a channel off, leaving the agent to infer behavior from defaults alone.

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 names a specific verb/resource pair ('Apply (bake) transforms') and states the exact effect: resets values to identity while keeping world position. This makes it clearly distinct from sibling move/rotate/scale/set_object_transform tools, even though it does not name them.

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

Usage Guidelines3/5

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

The baking/reset-to-identity wording implies a typical use case, but the description never says when to choose this over set_object_transform, move_object, rotate_object, or scale_object. It offers no exclusions or alternative routing, so an agent must infer the applicable context.

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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