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get_scene_info

Retrieve detailed information about the current Blender scene to understand its structure and contents for 3D asset integration.

Instructions

Get detailed information about the current Blender scene

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Implementation Reference

  • The handler function for the 'get_scene_info' tool. It connects to Blender using get_blender_connection(), sends a 'get_scene_info' command, and returns the JSON-formatted scene information or an error message.
    def get_scene_info(ctx: Context) -> str:
        """Get detailed information about the current Blender scene"""
        try:
            blender = get_blender_connection()
            result = blender.send_command("get_scene_info")
    
            # Just return the JSON representation of what Blender sent us
            return json.dumps(result, indent=2)
        except Exception as e:
            logger.error(f"Error getting scene info from Blender: {str(e)}")
            return f"Error getting scene info: {str(e)}"
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It states this is a read operation ('Get') but doesn't specify what 'detailed information' includes, whether it requires specific scene states, or how it handles errors. This leaves significant behavioral aspects undocumented.

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, efficient sentence that immediately conveys the core purpose without any wasted words. It's perfectly front-loaded and appropriately sized for a zero-parameter tool.

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 tool has zero parameters and an output schema exists, the description doesn't need to explain parameters or return values. However, as a read operation with no annotations, it should provide more context about what 'detailed information' encompasses and any scene requirements, leaving some completeness gaps.

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?

The tool has zero parameters with 100% schema description coverage, so no parameter documentation is needed. The description appropriately doesn't discuss parameters, earning a high baseline score since it doesn't need to compensate for any gaps.

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?

The description clearly states the action ('Get detailed information') and target resource ('about the current Blender scene'), making the purpose immediately understandable. However, it doesn't explicitly differentiate from sibling tools like 'get_object_info' or 'get_polyhaven_status', which prevents a perfect score.

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 like 'get_object_info' for object-specific details or 'get_polyhaven_status' for external asset status. There's no mention of prerequisites, timing, or contextual constraints for usage.

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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