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mhyrr
by mhyrr

create_component

Generate and position 3D components like cubes in Sketchup using specified dimensions and coordinates, enabling direct 3D modeling and scene manipulation through integration with Claude AI.

Instructions

Create a new component in Sketchup

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dimensionsNo
positionNo
typeNocube

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Implementation Reference

  • The handler function for the 'create_component' MCP tool. It connects to Sketchup via socket, sends a JSON-RPC 'tools/call' request with the tool name and arguments, and returns the result as JSON string. The function signature defines the input schema (type, position, dimensions). The @mcp.tool() decorator handles registration.
    @mcp.tool()
    def create_component(
        ctx: Context,
        type: str = "cube",
        position: List[float] = None,
        dimensions: List[float] = None
    ) -> str:
        """Create a new component in Sketchup"""
        try:
            logger.info(f"create_component called with type={type}, position={position}, dimensions={dimensions}, request_id={ctx.request_id}")
            
            sketchup = get_sketchup_connection()
            
            params = {
                "name": "create_component",
                "arguments": {
                    "type": type,
                    "position": position or [0,0,0],
                    "dimensions": dimensions or [1,1,1]
                }
            }
            
            logger.info(f"Calling send_command with method='tools/call', params={params}, request_id={ctx.request_id}")
            
            result = sketchup.send_command(
                method="tools/call",
                params=params,
                request_id=ctx.request_id
            )
            
            logger.info(f"create_component result: {result}")
            return json.dumps(result)
        except Exception as e:
            logger.error(f"Error in create_component: {str(e)}")
            return f"Error creating component: {str(e)}"
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool creates something but doesn't mention whether this requires specific permissions, what happens on success/failure, whether the component becomes part of the current model, or any side effects. For a creation tool with zero annotation coverage, this leaves significant behavioral questions unanswered.

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 maximally concise - a single sentence that states exactly what the tool does without any wasted words. It's appropriately sized for a basic creation tool and gets straight to the point.

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 that there's an output schema (which should document return values), the description doesn't need to explain return values. However, for a creation tool with 3 parameters and no annotations, the description is too minimal - it doesn't provide enough context about how the tool behaves, what the parameters mean, or when to use it versus sibling creation tools.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage and 3 parameters, the description provides no information about what 'dimensions', 'position', or 'type' mean or how they should be used. The schema shows 'type' has a default of 'cube' but the description doesn't explain this or what other types might be available. The description fails to compensate for the complete lack of parameter documentation in the schema.

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 ('Create a new component') and the target system ('in Sketchup'), providing a specific verb+resource combination. However, it doesn't differentiate from sibling tools like 'create_dovetail', 'create_finger_joint', or 'create_mortise_tenon' which likely create specific types of components.

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. There's no mention of prerequisites, when this tool is appropriate versus other creation tools, or any exclusions. The agent must infer usage from the tool name alone.

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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