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BlenderMCP

get_polyhaven_categories

Retrieve available categories for Polyhaven assets to organize and filter 3D resources in Blender. Specify asset type (hdris, textures, models, all) to get relevant categories.

Instructions

Get a list of categories for a specific asset type on Polyhaven.

Parameters:

  • asset_type: The type of asset to get categories for (hdris, textures, models, all)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
asset_typeNohdris

Implementation Reference

  • The handler function for the get_polyhaven_categories tool, decorated with @mcp.tool() for registration. It checks if PolyHaven is enabled, sends the command to the Blender addon, and formats the list of categories by sorting them by asset count.
    @mcp.tool()
    def get_polyhaven_categories(ctx: Context, asset_type: str = "hdris") -> str:
        """
        Get a list of categories for a specific asset type on Polyhaven.
        
        Parameters:
        - asset_type: The type of asset to get categories for (hdris, textures, models, all)
        """
        try:
            blender = get_blender_connection()
            if not _polyhaven_enabled:
                return "PolyHaven integration is disabled. Select it in the sidebar in BlenderMCP, then run it again."
            result = blender.send_command("get_polyhaven_categories", {"asset_type": asset_type})
            
            if "error" in result:
                return f"Error: {result['error']}"
            
            # Format the categories in a more readable way
            categories = result["categories"]
            formatted_output = f"Categories for {asset_type}:\n\n"
            
            # Sort categories by count (descending)
            sorted_categories = sorted(categories.items(), key=lambda x: x[1], reverse=True)
            
            for category, count in sorted_categories:
                formatted_output += f"- {category}: {count} assets\n"
            
            return formatted_output
        except Exception as e:
            logger.error(f"Error getting Polyhaven categories: {str(e)}")
            return f"Error getting Polyhaven categories: {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 but lacks behavioral details. It doesn't disclose whether this is a read-only operation, if it requires authentication, rate limits, or what the output format looks like (e.g., list structure, error handling). This leaves significant gaps for an agent.

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

Conciseness4/5

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

The description is appropriately sized with two sentences: one stating the purpose and another detailing the parameter. It's front-loaded with the core function, though the parameter explanation could be slightly more integrated for better flow.

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 low complexity (1 parameter, no output schema, no annotations), the description is minimally adequate. It covers the basic purpose and parameter, but lacks output details, error handling, or behavioral context, making it incomplete for reliable agent use without additional inference.

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 0%, but the description adds meaningful context by explaining the 'asset_type' parameter and listing its possible values (hdris, textures, models, all). This compensates partially, though it doesn't detail the default value or format constraints beyond what's implied.

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 verb ('Get') and resource ('list of categories for a specific asset type on Polyhaven'), making the purpose understandable. However, it doesn't differentiate from sibling tools like 'search_polyhaven_assets' or 'get_polyhaven_status' beyond the specific resource focus, 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. It doesn't mention sibling tools like 'search_polyhaven_assets' for broader searches or 'get_polyhaven_status' for system checks, leaving the agent without context for tool selection.

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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