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batch_transform

Apply location, rotation, and scale changes to multiple Blender objects in one call, modifying only the specified transform channels per object to batch-update scene elements efficiently.

Instructions

Apply transforms to multiple objects in one call.

Each entry: {"name": "Obj", "location": [x,y,z], "rotation": [rx,ry,rz], "scale": [sx,sy,sz]} Only provided channels are modified per object.

Args: transforms: List of transform dicts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
transformsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv3.0.0

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description must carry behavioral disclosure. It does add one useful trait—'Only provided channels are modified per object'—but it does not state whether changes are permanent, how missing objects are handled, or what the call returns.

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 brief, front-loaded with the core action, and uses a compact code block for the transform format. Every sentence adds value and there is no filler.

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 one-parameter batch mutation tool the input shape is adequately covered, but context is incomplete without annotations or an output schema: there is no mention of object existence errors, return behavior, or side effects beyond the partial-channel update.

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 coverage is 0%, so the description is the only source of parameter meaning. It compensates by showing the exact per-entry structure with name, location, rotation, and scale, plus the partial-update rule. It still leaves minor details such as number types and required keys implicit.

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

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies a batch operation that applies transform updates to multiple objects and includes a precise array entry format. It is distinct from single-object transform tools by emphasizing 'multiple objects in one call,' though it does not explicitly name a sibling alternative.

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 implies batching but gives no explicit when-to-use guidance, prerequisites, or alternatives. An agent is left to infer when to choose this over set_object_transform, move_object, rotate_object, scale_object, or apply_transform.

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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