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Blender Copilot MCP Server

by dwgx

vrc_setup_physbone_chain

Creates a bone chain for VRChat PhysBones on an armature. Use for hair, tail, ears, or skirt. Control chain length, bone count, and direction.

Instructions

Create a bone chain for VRChat PhysBones (hair, tail, ears, skirt, etc.). Creates bones in Blender; PhysBone components are configured in Unity.

Parameters:

  • armature_name: Target armature. If empty, uses first found.

  • parent_bone: Name of the bone to attach the chain to (e.g., "Head" for hair)

  • chain_name: Name prefix for the chain (e.g., "Hair_Front", "Tail")

  • bone_count: Number of bones in the chain (default: 4, recommended: 3-6)

  • chain_length: Total length of the chain in meters (default: 0.3)

  • direction: "down" (hair/skirt), "back" (tail), "left", "right" (ears)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
directionNodown
bone_countNo
chain_nameNoHair
parent_boneNo
chain_lengthNo
armature_nameNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

Annotations are absent, so the description carries the full burden. It discloses that bones are created in Blender and PhysBone components are configured in Unity, which is useful. However, it does not clarify whether existing bones are overwritten, prerequisite conditions, or what the return value represents, even though an output schema exists.

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?

The description is concise and starts with the primary purpose. The parameter list follows in a clear bullet-like format. While efficient, it could be slightly more structured by separating the core description from parameter details.

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?

With 6 parameters, 0% schema coverage, and no annotations, the description provides adequate parameter semantics but lacks details on output behavior (despite output schema) and error conditions. It covers the main use case but misses completeness for a moderately complex tool.

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?

Input schema has 0% description coverage, but the description compensates by briefly explaining each parameter's purpose, including examples for direction and recommended range for bone_count. This adds significant meaning beyond the schema's titles and defaults.

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 the tool creates a bone chain for VRChat PhysBones, specifying examples like hair, tail, ears. It distinguishes itself from sibling tools like armature_add_bones_chain by focusing on VRChat PhysBones and mentioning that PhysBone components are configured separately in Unity.

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?

No explicit guidance on when to use this tool versus alternatives such as vrc_physbone_config or armature_add_bones_chain. The parameter hints at usage for specific body parts but does not provide clear when-to-use or when-not-to-use 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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