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Labelixa

labelixa-mcp

Official

zpl_command_help

Look up a ZPL command to get its syntax, parameters, defaults, and whether the preview engine renders it.

Instructions

Look up one ZPL command in the maintained catalog: name, syntax, parameters (types, ranges, defaults) and whether the preview engine actually renders it — printer-side commands are honestly marked as not rendered.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
localeNoLanguage for the name and descriptions (default English). Command codes, syntax strings, examples and parameter names are protocol and never change.
commandYesCommand code with or without prefix, e.g. ^PO, BC, ~DG

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv0.1.1
    • addedInput schema / properties / locale
      Added value: +{
      +  "description": "Language for the name and descriptions (default English). Command codes, syntax strings, examples and parameter names are protocol and never change.",
      +  "enum": [
      +    "en",
      +    "tr",
      +    "de"
      +  ],
      +  "type": "string"
      +}
  2. First observedv0.1.0

TDQS

A3.8/5.0
Behavior4/5

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

With no annotations present, the description carries the full transparency burden. It does more than describe the action by revealing a behavioral nuance: preview-engine render support is reported honestly, and printer-side commands are explicitly marked as not rendered. It does not cover edge behavior like unknown command codes, but it offers meaningful context beyond the schema.

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?

The description is a single front-loaded sentence that starts with the action and resource, then packs the returned fields and the rendering caveat into a colon-separated list. There is no filler or redundancy.

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?

No output schema exists, so it is important that the description summarizes the returned data: name, syntax, parameter types/ranges/defaults, and renderability. It provides enough context for a straightforward lookup tool, though exact output formatting and error behavior are not described.

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 100%, so the baseline is 3; the schema already documents the command code format and locale semantics. The description only says it returns parameter metadata and does not add new meaning to the tool's own input parameters.

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 opens with a specific action ('Look up one ZPL command') and a clear resource ('maintained catalog'), then enumerates the returned content. It does not explicitly distinguish itself from the similar-looking explain_zpl sibling, so it misses the highest bar for sibling differentiation.

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 phrase 'Look up one ZPL command' implies the intended use case, but there is no explicit statement of when to prefer this over siblings such as explain_zpl, zpl_validate, or zpl_preview. No exclusion or conditional guidance is provided, so usage is only implied.

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