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JSCodesTech

snapmaker-u1-mcp

by JSCodesTech

u1_diagnose_model

Identify print issues in 3D models before slicing and get actionable fixes.

Instructions

Return practical pre-slice model diagnostics and suggestions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.1/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure, yet it only says it returns diagnostics. It does not explicitly confirm that the tool is read-only, that it does not modify the model, or what inputs it requires beyond 'model'.

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 sentence is short, front-loaded with an active verb, and contains no structural waste. The word 'practical' adds little, but overall the description is appropriately concise.

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?

For a single-parameter tool with no annotations, no output schema, and many sibling diagnostics, this description is too thin. It omits the input format, the nature of the diagnostics, and any guidance on choosing between this tool and related pre-slice diagnostic tools.

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 description coverage is 0% and the description does not compensate: it never explains what 'model' should be (path, model id, name) or where to obtain it. The phrase 'model diagnostics' merely implies the parameter refers to the model being diagnosed.

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 uses a specific verb+resource combination ('Return ... diagnostics and suggestions') and scopes the work to the pre-slice phase, distinguishing it from later-stage operations like u1_slice. It does not, however, clarify exactly how it differs from nearby diagnostics such as u1_mesh_printability or u1_orientation_preflight.

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

Usage Guidelines4/5

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

'Pre-slice' provides a clear temporal context: this is the tool to consult before slicing. It does not explicitly name alternatives or state when not to use it, so it stops short of full routing guidance.

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