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whats2000

Isaac Sim MCP Server

by whats2000

generate_3d

Create a 3D model from a text description or image, then position and scale it in the Isaac Sim scene.

Instructions

Generate a 3D model from text or image using Beaver3D, then load it into the scene.

Args: text_prompt: Text description for 3D generation. image_url: URL of an image for 3D generation. position: [x, y, z] world position for the generated model. scale: [sx, sy, sz] scale factors.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
text_promptNo
image_urlNo
positionNo
scaleNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations, the description carries full responsibility for behavioral transparency. It fails to disclose important behavioral traits such as expected latency, asynchronous behavior, resource requirements, or side effects. The mention of 'Beaver3D' hints at an external service but lacks detail.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is relatively concise, consisting of a single sentence followed by a list of parameters. However, the parameter list largely duplicates information already in the input schema, and could be integrated more efficiently. The structure is functional but not optimized.

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?

Given the complexity of a 3D generation tool, the description is incomplete. It does not discuss required inputs (e.g., one of text_prompt or image_url must be provided), output behavior, or limitations. The presence of an output schema may compensate for return value documentation, but the description still lacks key operational context.

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?

Despite 0% schema description coverage, the description provides basic parameter explanations: 'Text description for 3D generation.' and 'URL of an image for 3D generation.' etc. While this adds meaning beyond parameter names, the descriptions are minimal and do not specify constraints like coordinate system for position or the requirement that one of text or image must be provided.

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 it generates a 3D model from text or image using Beaver3D and loads it into the scene. The verb 'generate' and specific resource '3D model' along with the tool name make the purpose unambiguous. It also implicitly distinguishes from siblings as no other sibling tool generates 3D content.

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?

The description provides no guidance on when to use this tool versus alternatives, nor does it mention prerequisites or conditions. It simply describes what the tool does without any usage context or 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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