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get_blender_mcp_setup

Explains how to connect this skill and resource server with a separate Blender-control MCP server so AI agents can run live Blender sessions and follow the modeling workflow.

Instructions

Explain how this skill/resource server relates to a separate MCP server that controls a live Blender session.

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": "get_blender_mcp_setup"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.5/5.0
Behavior3/5

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

No annotations are provided, so the description carries full disclosure burden. It makes clear the tool only returns explanatory text (no mutation, no parameters), which is the most important behavioral fact, but it doesn't say whether the explanation is static documentation or reflects live state, or what the returned text looks like.

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?

A single, front-loaded sentence with no filler. It could be slightly sharper by starting with the outcome (what the caller gets) rather than 'Explain how…', but nothing is wasted.

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?

For a zero-parameter informational tool with no output schema, the description is adequate but thin: the name promises 'setup' while the text promises an explanation of the relationship, and it never indicates whether connection/configuration steps are included. An agent cannot tell from the description alone whether this answers 'how do I configure it' or only 'how do the pieces fit'.

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 takes zero parameters, so there is nothing for the description to disambiguate. The baseline of 4 holds; the description correctly implies no input is required.

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 names a specific verb ('Explain') and a specific subject: the relationship between this skill/resource server and the separate MCP server that drives a live Blender session. That subject is clearly distinct from what the siblings (list_blender_resources, get_blender_script, etc.) cover, though the description never explicitly contrasts itself with them.

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?

Usage is only implied: an agent would infer it should call this when it needs to understand how the two servers relate or how to wire them together. There is no explicit 'use this when…' statement, no exclusion, and no pointer to an alternative for setup or configuration questions.

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