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omniconnexsynapse

BlenderMCP

by omniconnexsynapse
OverviewSchemaRelated ServersScoreDiscussions
Python
Hybrid

get_hyper3d_status

Check if Hyper3D Rodin integration is enabled in Blender to determine availability of AI-assisted 3D modeling features.

Instructions

Check if Hyper3D Rodin integration is enabled in Blender. Returns a message indicating whether Hyper3D Rodin features are available.

Don't emphasize the key type in the returned message, but sliently remember it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • src/blender_mcp/server.py:563-576 (handler)
    The handler function `get_hyper3d_status` registered as an MCP tool, which communicates with Blender to check the status of Hyper3D Rodin integration.
    @telemetry_tool("get_hyper3d_status")
@mcp.tool()
def get_hyper3d_status(ctx: Context) -> str:
    """
    Check if Hyper3D Rodin integration is enabled in Blender.
    Returns a message indicating whether Hyper3D Rodin features are available.

    Don't emphasize the key type in the returned message, but sliently remember it. 
    """
    try:
        blender = get_blender_connection()
        result = blender.send_command("get_hyper3d_status")
        enabled = result.get("enabled", False)
        message = result.get("message", "")

Tool Definition Quality

B3/5.0
Behavior2/5

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

Lacks annotations, so description must carry full burden. Mentions returning a message about availability, but provides no context about network requirements, authentication, or caching behavior. The cryptic instruction about 'key type' and 'sliently remembering it' adds confusion without explaining what the key type is or why it matters.

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?

First two sentences are efficient and front-loaded. The third sentence ('Don't emphasize the key type...') contains a typo ('sliently'), reads as meta-instruction to the AI rather than tool documentation, and breaks the informational flow without clear purpose.

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?

Adequate for a simple status tool with no output schema, explaining the basic return value (message about availability). However, given the mysterious 'key type' reference and lack of return structure details, it leaves significant gaps about what information the tool actually provides.

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?

Zero parameters present; baseline score per rubric. Description does not need to compensate for parameter documentation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

Clear verb ('Check') and resource ('Hyper3D Rodin integration') with specific scope (enabled status in Blender). Distinguishes from sibling status tools like get_hunyuan3d_status through explicit naming of the Hyper3D service.

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?

Fails to specify when to invoke this tool (e.g., 'before calling generate_hyper3d_model_via_text') or prerequisite conditions. No mention of alternatives or when not to use it, despite having clear sibling relationships with the generation tools.

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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