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codeofaxel

Kiln

by codeofaxel
OverviewSchemaRelated ServersScoreDiscussions
Python

set_printer_light

Set the chamber or work LED light on Bambu Lab printers to on, off, or flashing. Use it to improve camera visibility, signal print completion, or turn lights off overnight.

Instructions

Control the printer's LED lights (Bambu Lab printers only).

Args:
    node: Which light to control — ``"chamber_light"`` (main
        illumination) or ``"work_light"`` (nozzle area).
        Defaults to ``"chamber_light"``.
    mode: Light mode — ``"on"``, ``"off"``, or ``"flashing"``.
        Defaults to ``"on"``.

Use this to improve camera visibility, signal print completion
(flashing), or turn lights off for overnight prints.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeNoon
nodeNochamber_light
Install Server

TDQS

A4.5/5.0
Behavior4/5

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

With no annotations, the description fully discloses the tool's effect (turning lights on/off/flashing) and the printer brand constraint. No hidden behaviors or side effects are omitted; the tool is simple and transparent.

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 extremely concise yet complete: one sentence for purpose, an Args section with clear formatting and defaults, and a usage sentence. Every sentence adds value.

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?

The description lacks an explicit return value, but for a light control tool, the outcome is obvious (success/failure). Given no output schema, it is minimally adequate but could mention response content.

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

Parameters5/5

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

Schema coverage is 0%, so the description provides all parameter meaning: 'node' lists two valid values with defaults, 'mode' lists three values with defaults. This fully compensates for the missing schema descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description explicitly states the tool controls 'the printer's LED lights' and restricts to 'Bambu Lab printers only'. It clearly distinguishes from sibling tools like 'set_temperature' or 'set_leveling_policy' by targeting a specific hardware component.

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?

Three concrete use cases are provided: improving camera visibility, signaling print completion via flashing, and turning lights off for overnight prints. While no explicit 'when not to use' is given, the context is sufficient for an agent to decide.

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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