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Blender Copilot MCP Server

by dwgx

rigify_fit_metarig

Automatically adjusts a Rigify meta-rig to match a target mesh's proportions by analyzing its bounding box and key landmarks.

Instructions

Auto-fit a Rigify meta-rig to match a target mesh's proportions. Analyzes the mesh bounding box and key landmarks to position bones.

Parameters:

  • metarig_name: Name of the meta-rig armature (default: "metarig")

  • mesh_name: Target mesh to fit to. If empty, uses the largest mesh in scene.

  • method: "proportional" (scale bones to mesh proportions) or "snap" (snap key bones to nearest surface)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
methodNoproportional
mesh_nameNo
metarig_nameNometarig

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations, the description provides some behavioral insight (analyzes bounding box, key landmarks, two methods) but lacks details on side effects, required permissions, or whether it modifies the mesh. It does not contradict annotations since none exist.

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 concise and well-structured: a single sentence for purpose, then a clear bullet list for parameters. Every sentence adds value with no redundancy.

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?

Given the presence of an output schema (not shown) and the clear parameter descriptions, the description is fairly complete. However, it could mention limitations or prerequisites (e.g., metarig must be correctly structured) to fully guide the agent.

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 explain parameters. It does so thoroughly: each parameter listed with default values and explanations, including the 'method' parameter with explicit options ('proportional' vs 'snap'), adding significant value beyond the schema.

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 'Auto-fit a Rigify meta-rig to match a target mesh's proportions' with specific verbs and resources, and it distinguishes from sibling tools like 'rigify_create_metarig' and 'rigify_generate_rig'.

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?

No explicit guidance on when to use this tool versus alternatives like 'rigify_configure_ik' or manual adjustment. The context is implied but not stated, leaving the agent to infer prerequisites.

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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