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RoellinRacing

RRS OrcaSlicer MCP

native_text

Creates editable native text or emboss geometry in OrcaSlicer as a join, engrave cut, or modifier, exporting a verified .3mf with text height and depth metadata.

Instructions

Use Orca's editable native text/emboss tool: join, cut (engrave) or modifier.

Requires one object/instance and foreground English Prepare UI. Saves the unsaved project to backup first. Both paths must be new .3mf files inside configured client/host export roots. Exports and verifies editable native text metadata, height and depth; this is not a faceted text STL substitute.

Input Schema

NameRequiredDescriptionDefault
modeYes
textYes
backupYes
depth_mmYes
height_mmYes
request_idYes
session_idYes
destinationYes
expected_revisionYes

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.5.1

TDQS

A3.6/5.0
Behavior4/5

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

With no annotations provided, the description carries the behavioral burden and does so fairly well: it discloses the backup side effect, the foreground-UI requirement, path constraints, and that the tool exports and verifies editable native text metadata, height, and depth. It still omits permission requirements, reversibility, and error behavior.

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 description is dense and front-loaded: the purpose comes first, followed by prerequisites, side effects, path constraints, and output verification. It is compact with little wasted text, though the semicolon-heavy final sentence is slightly hard to parse.

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 tool has 9 required parameters, 0% schema description coverage, and no annotations, so the description bears a high burden. It covers many operational details but omits three required identifiers and does not explain error or permission behavior; with an output schema present, return-value detail is correctly left out.

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

Parameters3/5

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

Schema description coverage is 0%, so the description must compensate. It explains mode values (join, cut, modifier), mentions height and depth, and imposes constraints on the backup and destination paths, but it leaves expected_revision, session_id, and request_id completely undocumented.

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 specific verb and resource: using Orca's editable native text/emboss tool with join, cut, or modifier modes. It distinguishes the output from a faceted text STL substitute, but does not explicitly differentiate this tool from sibling tools such as native_transform or host_plugin_export.

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 gives prerequisites (one object/instance, foreground English Prepare UI, new .3mf paths inside configured export roots) and one exclusion (not a faceted text STL substitute). However, it does not state when to choose this tool over a named sibling or provide explicit when-not-to-use guidance beyond that single negative.

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