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create_collection_instance

Place a collection as a lightweight instance that shares its data, so many copies use little memory and edits update every instance automatically.

Instructions

Place a collection as a lightweight instance (an empty that shows it).

Instances share the collection's data, so a hundred trees cost little more than one, and editing the collection updates every copy. Works with local and linked collections.

Args: collection_name: Collection to instance. name: Name for the instance object; empty uses the collection name. location: World position [x, y, z]. rotation: Euler rotation [x, y, z] in radians. scale: Scale [x, y, z]; components must not be zero.

Returns: Dict with the instance object's name and its collection.

Input Schema

NameRequiredDescriptionDefault
nameNo
scaleNo
locationNo
rotationNo
collection_nameYes

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv3.0.0

TDQS

A4.4/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does well: it discloses the shared-data semantics, that edits propagate to every copy, and the non-zero-scale constraint. It omits failure modes (e.g., what happens if collection_name doesn't exist) and whether the operation is reversible without make_instances_real.

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

Conciseness4/5

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

Front-loaded with the core behavior and rationale before the Args block; every line earns its place. The Returns section is somewhat redundant given a real output schema exists, adding minor bloat.

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 5-parameter mutation tool with no annotations, the definition covers behavior, sharing semantics, parameter units, and defaults — enough to invoke correctly. A note on error behavior or its relationship to make_instances_real would close the remaining gap.

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

Parameters5/5

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, and it does: all five parameters are documented with added meaning beyond the schema — rotation explicitly in radians, name empty-defaults to the collection name, and scale components must not be zero.

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?

States a specific verb and resource ('Place a collection as a lightweight instance') and immediately clarifies the result is 'an empty that shows it', which distinguishes it from create_object/duplicate_object and from make_instances_real.

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?

Explains the 'why' clearly — instances share data so 'a hundred trees cost little more than one' — and notes compatibility with local and linked collections. It does not explicitly name an alternative tool (e.g., duplicate_object or make_instances_real) or a when-not-to-use condition, so routing still requires some inference.

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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