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Minecraft Structure Lab

Minecraft Structure Lab

by ewitulsk
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generate_structure

Build Minecraft NBT structures from set, fill, and room operations without writing Python code. Outputs .nbt files for use in datapacks or worlds.

Instructions

Generate NBT from set/fill/room operations; no Python code execution required.

set: {op:'set',pos:[x,y,z],block:'minecraft:stone',properties:{}} fill: {op:'fill',start:[x,y,z],end:[x,y,z],block:'minecraft:stone'} room: {op:'room',start:[x,y,z],end:[x,y,z],wall:'oak_planks',floor:'stone',roof:'oak_planks'} A views list uses the submit_structure schema. Use the Python Structure library for typed block entities.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "output_path": "<output_path>",
      "size": "<size>",
      "operations": "<operations>"
    },
    "name": "generate_structure"
  }
}

Input Schema

NameRequiredDescriptionDefault
sizeYes
viewsNo
operationsYes
output_pathYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

B3/5.0
Behavior3/5

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

Without annotations, the description carries the burden of disclosing behavior. It mentions no code execution and the use of submit_structure schema for views, but it does not disclose that the tool writes to output_path, potential side effects, or required permissions. The behavior is partially transparent.

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

Conciseness3/5

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

The description is somewhat fragmented: it starts with a purpose, then lists operation examples, then adds sentences about views and the Python library. It is not poorly written but lacks a clear organization that could make it more concise and scannable.

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?

Given there is no output schema, the description should clarify what the tool returns or produces. It only says 'Generate NBT' but does not state that it writes to output_path or describe the output format. Critical context about the relationship between operations and the resulting structure is missing.

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?

Schema coverage is 0% and the description does not explain the parameters size, views, operations, or output_path. It provides example operation objects but not their field meanings, nor does it clarify how size or views relate to the generation. Parameter semantics are largely missing.

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 tool generates NBT from set/fill/room operations, which is a specific verb and resource. However, it does not explicitly differentiate it from siblings like generate_example_house, though the generality of 'operations' provides some distinction.

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 notes 'no Python code execution required' and references the submit_structure schema and Python Structure library, giving some usage context. But it does not explicitly state when to use this tool over alternatives such as generate_example_house or export_structure.

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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