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Create Polygon Primitive

modeling.create_polygon_primitive

Create polygon primitives such as cubes, spheres, cylinders, cones, torus, and planes with configurable dimensions, subdivisions, and axis orientation.

Instructions

Create a polygon primitive (cube, sphere, cylinder, cone, torus, plane) with configurable dimensions, subdivisions, and axis.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
axisNoUp axis for the primitivey
nameNoOptional name for the transform node
depthNoDepth (cube)
widthNoWidth (cube/plane)
heightNoHeight (cube/cylinder/cone/plane)
radiusNoRadius (sphere/cylinder/cone/torus)
primitive_typeYesType of primitive to create
subdivisions_axisNoAxis subdivisions (sphere/cylinder/cone/torus)
subdivisions_depthNoDepth subdivisions
subdivisions_widthNoWidth subdivisions
subdivisions_heightNoHeight subdivisions

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
shapeYes
errorsYes
transformYes
face_countYes
vertex_countYes
primitive_typeYes
constructor_nodeYes
Behavior3/5

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

Annotations indicate a write operation (readOnlyHint=false) and the description confirms creation, but no additional behavioral context is provided beyond what is obvious.

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 a single, front-loaded sentence with no wasted words, effectively conveying the tool's purpose.

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 complexity (11 parameters) and the existence of an output schema, the description provides sufficient context; the schema handles detailed parameter explanations.

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?

Schema description coverage is 100%, so the description adds minimal extra meaning beyond summarizing parameters as 'configurable dimensions, subdivisions, and axis'.

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 action (Create), resource (polygon primitive), and lists all supported types (cube, sphere, etc.), distinguishing it from sibling modeling tools that perform different operations.

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?

The description implies usage for creating standard primitives, but does not explicitly state when to use this tool versus alternatives or provide exclusions.

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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