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set_physics_property

Set a property on an existing physics simulation in Blender by specifying the object, physics type, property name, and new value. Returns a confirmation with the updated property.

Instructions

Set a property on an existing physics simulation.

Args: object_name: Name of the object with the physics simulation. physics_type: Physics type - RIGID_BODY, CLOTH, FLUID, or PARTICLE_SYSTEM. property: Property name to set (depends on physics type). value: Value to set.

Returns: Confirmation dict with property name and new value.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
valueYes
propertyYes
object_nameYes
physics_typeYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changedv1.7.0
    • addedInput schema / additionalProperties
      Added value: +false
    • addedInput schema / properties / physics_type / enum
      Added value: +[
      +  "CLOTH",
      +  "FLUID",
      +  "PARTICLE_SYSTEM",
      +  "RIGID_BODY"
      +]
  2. First observedv0.1.0

TDQS

B3.4/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. It states the operation and that a confirmation dict is returned, but says nothing about permissions, reversibility, side effects, what happens if the property is invalid, or whether setting a value overwrites existing data. For a mutation tool with no annotations this is a significant gap.

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 front-loaded with the purpose, then follows a clean Args/Returns structure. It is appropriately sized for a four-parameter tool, though the Returns section is arguably redundant because an output schema exists.

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?

Given the lack of annotations, 0% schema description coverage, and the complexity of physics property setting, the description is only partially complete. It covers the basic call mechanics and return shape, but leaves an agent without a way to discover valid property names or expected values for each physics type.

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?

Schema description coverage is 0%, so the description must explain the four parameters. It names each one, gives the enum values for physics_type, and notes that the property name depends on the physics type. It does not enumerate valid property names or describe expected value types, so it adds useful but incomplete meaning.

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: set a property on an existing physics simulation. The scope is clear and implicitly distinguishes it from sibling property setters such as set_modifier_property or set_material_property. An agent can tell it targets physics simulations specifically.

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 when-to-use guidance, no alternatives, and no prerequisites beyond the phrase 'existing physics simulation'. It does not mention related tools like add_cloth_sim or bake_physics, nor does it explain when this tool should be chosen over them.

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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