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Blender MCP Ultra

Blender MCP Ultra

by 3bdull4h2008
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

set_camera_to_view

Frame the current viewport or a specific object by repositioning a named or active camera, with adjustable distance.

Instructions

Position camera to frame the current viewport or a specific object.

Args: name: Camera name (empty = active camera). target_name: Object to frame (empty = all visible). distance: Distance from target.

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": "set_camera_to_view"
  }
}

Input Schema

NameRequiredDescriptionDefault
nameNo
distanceNo
target_nameNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv3.0.0

TDQS

A3.8/5.0
Behavior3/5

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

With no annotations, the description carries the behavioral burden. It discloses some useful behavior, such as empty name meaning active camera and empty target meaning all visible objects. However, it does not mention side effects, whether existing camera animation is overwritten, or what the tool returns after execution.

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 compact and efficient. The opening sentence states the purpose, and the three arg lines are minimal and informative with no filler or redundant information.

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?

The description covers the core invocation details and parameter semantics, making it minimally viable. However, with no output schema and no annotations, it leaves gaps such as measurement units for distance, behavior when no active camera exists, and whether distance applies in the 'all visible' case. It also does not clarify how it relates to similar camera-framing sibling tools.

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

Parameters5/5

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

Schema description coverage is 0%, but the description fully compensates by explaining all three parameters including the important empty-value behaviors: 'name: Camera name (empty = active camera)', 'target_name: Object to frame (empty = all visible)', and 'distance: Distance from target.' This adds meaning well beyond the bare schema defaults.

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 states a clear action and resource: 'Position camera to frame the current viewport or a specific object.' This conveys the tool's purpose well. However, it does not explicitly distinguish itself from similar sibling tools like set_camera_framing or setup_studio_camera, so it stops short of a 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage through its action statement and parameter explanations, but it never explicitly says when to prefer this tool over alternatives. There are no exclusion criteria or references to sibling tools, leaving the agent to infer the intended use case.

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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