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nakomis

nakomis-dragonfruit-mcp

by nakomis

engine_info

Identify the active dragonfruit-cli engine and list the print formats it can output, so you can confirm slicing capabilities before processing resin prints.

Instructions

Report which dragonfruit-cli is in use and the print formats it can write.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
formatsYesOutput extensions the engine can write
versionYes
cli_pathYes
warningsNo
slice_defaultsYesEngine defaults; never relied on for a real printer

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 the full burden. 'Report' implies a passive, non-mutating lookup, which is useful signal, and it hints at the returned content (available print formats). However it says nothing about permissions, cost, or side effects, leaving real gaps for a tool with no annotation coverage.

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?

A single front-loaded sentence with no filler or redundancy. Every clause adds information about what the tool reports.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With an output schema present, the description need not explain return values, and with zero parameters there is no input surface to document. It is nearly complete, missing only guidance on when this diagnostic is relevant versus other info tools.

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 100% schema coverage and empty properties object make this a baseline case where no compensating text is needed.

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?

States a specific verb ('Report') and resource ('which dragonfruit-cli is in use and the print formats it can write'), so an agent knows exactly what it returns. It does not differentiate itself from siblings mesh_info or find_islands, but those cover unrelated domains so confusion is unlikely.

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?

There is no statement of when to call this tool, no prerequisites, and no reference to any alternative. The agent must infer usage entirely from the name and the one-line purpose.

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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