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blender_physics

Configure physics simulations for Blender objects, supporting rigid body, cloth, soft body, fluid, and force fields with adjustable mass, friction, and collision.

Instructions

Enable and configure physics simulations for objects.

Supports multiple operations through the operation parameter:

  • enable_rigid_body: Add rigid body physics to object

  • enable_cloth: Add cloth simulation to object

  • enable_soft_body: Add soft body simulation to object

  • enable_fluid: Add fluid simulation to object

  • bake_physics: Bake physics simulation to keyframes

  • add_force_field: Add force field to scene

  • set_rigid_body_constraint: Add constraints between objects

  • configure_world: Set up physics world settings

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
operationNoPhysics operation typeenable_rigid_body
object_nameNoName of object to apply physics to
physics_typeNoType of physics (RIGID_BODY, CLOTH, SOFT_BODY, FLUID)RIGID_BODY
rigid_body_typeNoRigid body type (ACTIVE, PASSIVE)ACTIVE
massNoObject mass in kg
frictionNoFriction coefficient (0-1)
bouncinessNoBounciness/restitution (0-1)
collision_shapeNoCollision shape type (MESH, BOX, SPHERE, etc.)MESH
damping_linearNoLinear damping
damping_angularNoAngular damping

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description must carry the full burden of behavioral disclosure. However, it only lists operations without explaining side effects, prerequisites (e.g., object must exist), or limitations (e.g., physics engine required). This is insufficient for a complex tool.

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 front-loaded with the purpose, followed by a bullet list of operations. It is well-structured and avoids redundancy, though it could be slightly more compact.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite the existence of an output schema (not shown), the description lacks completeness for a tool with 10 parameters and multiple operations. It does not explain interaction between operations, return values, or error conditions, leaving gaps for an AI agent.

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

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 100% coverage with descriptions for all parameters. The tool description does not add significant meaning beyond the schema; it lists operations but does not elaborate on parameter usage or constraints. Baseline score of 3 is appropriate.

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's purpose: 'Enable and configure physics simulations for objects.' It lists specific operations (e.g., enable_rigid_body, bake_physics), which distinguishes it from sibling tools like blender_animation or blender_particles.

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 description provides a list of operations but does not offer guidance on when to use this tool versus alternatives (e.g., when to use blender_physics vs blender_rigging for constraints). No explicit when-to-use or when-not-to-use statements.

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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