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Haiyang-Bian

blender-research-mcp

by Haiyang-Bian

object.set

DestructiveIdempotent

Apply transform, visibility, light, or camera settings to one exact Blender object atomically within an active transaction, ensuring safe, consistent scene updates.

Instructions

Atomically apply typed transform, visibility, Light, and Camera settings to one exact object inside the active transaction.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
patchesYes
object_nameYes
transaction_idYes
idempotency_keyYes
expected_object_identityYes
expected_scene_generationYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Annotations already declare destructiveHint=true, idempotentHint=true, readOnly=false, and openWorld=false, so the description does not need to restate those. It adds value by disclosing atomicity, the active-transaction requirement, and that the operation targets exactly one object rather than a selection or scene-wide scope.

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 a single sentence with the core action front-loaded: 'Atomically apply'. Every phrase earns its place by adding scope, target, transaction context, or the kinds of settings involved.

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 tool with six required parameters and a complex nested patch schema, the description is quite terse. It conveys atomicity and transaction context but leaves expected_* and idempotency semantics to be inferred from parameter names, which may be insufficient for reliable invocation. An output schema exists, so return values are not the issue, but preconditions and concurrency-failure behavior are not disclosed.

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 description must compensate for the six required parameters. It mentions 'one exact object' and 'inside the active transaction', which loosely maps to object_name and transaction_id, but it does not explain the roles of expected_object_identity, expected_scene_generation, or idempotency_key, all of which carry important concurrency and retry semantics.

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 states a specific verb ('apply'), a clear resource ('one exact object'), and enumerates the setting categories involved: transform, visibility, Light, and Camera. It does not explicitly contrast itself with sibling tools like object.transform, object.visibility.set, or scene.camera.set, but its combined atomic scope makes its purpose reasonably distinct.

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 phrase 'inside the active transaction' conveys that this tool operates on transaction state, which is a useful context cue. However, it does not say when to prefer object.set over more specialized siblings like object.transform or object.visibility.set, nor does it mention exclusions or prerequisites such as requiring transaction.begin to have been called.

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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