Skip to main content
Glama
Sign In
Blender MCP Ultra

Blender MCP Ultra

by 3bdull4h2008
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

render_preview

Generate a quick preview render of the current Blender scene to check lighting, materials, and composition before final output. Choose low, medium, or high quality to balance speed and detail for visual feedback.

Instructions

Quick preview render for visual feedback loops.

Args: quality: LOW (320x240), MEDIUM (800x600), HIGH (1920x1080).

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "render_preview"
  }
}

Input Schema

NameRequiredDescriptionDefault
qualityNoMEDIUM

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv3.0.0

TDQS

B3.1/5.0
Behavior2/5

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

With no annotations, the description carries the burden of behavioral disclosure, but it only adds resolution mappings. It does not mention whether the render is asynchronous, whether it saves/returns an image, whether it blocks, or what side effects occur in the scene.

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 very short, front-loaded with the core purpose, and uses a clean labeled list for parameter options. There is no wasted text.

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?

The tool is simple, but with no annotations and no output schema, the description should clarify what the agent gets back or what happens after the render. It also does not explain how this relates to get_render_preview or render_image, leaving an important gap for correct invocation.

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?

Schema coverage is 0%, so the description compensates well by listing the allowed quality values and their exact pixel dimensions. This is meaningful information beyond the bare 'quality' string field, though it does not mention the default value (which the schema already provides).

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?

Description states a specific action ('quick preview render') and its purpose ('visual feedback loops'), with concrete quality presets. It is clear, though it does not explicitly differentiate itself from close siblings like render_image or get_render_preview.

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 phrase 'for visual feedback loops' implies a use case, but there is no guidance on when to choose this over alternatives such as render_image, get_viewport_screenshot, or get_render_preview. No exclusions or when-not-to-use conditions are provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Deploy Server

Other Tools