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bbernstein

LacyLights MCP Server

by bbernstein

create_fixture_instance

Add a new lighting fixture to a project by specifying manufacturer, model, DMX universe, and channel details. Streamline fixture configuration and organization for efficient lighting design workflows.

Instructions

Create a new fixture instance in a project with manufacturer/model details

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
channelAssignmentNoHow to assign channels: auto=find next available, manual=use provided startChannel, suggest=recommend placementauto
descriptionNoDescription of where this fixture is placed or its purpose
manufacturerYesFixture manufacturer (e.g., "Chauvet", "Martin", "ETC")
modeNoSpecific mode if the fixture has multiple modes
modelYesFixture model name
nameYesName for this fixture instance
projectIdYesProject ID to add fixture to
startChannelNoStarting DMX channel (1-512). If not provided, will auto-assign
tagsNoTags for organization (e.g., ["front", "wash", "blue"])
universeNoDMX universe number (typically 1-4)
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. It states it's a creation tool, implying mutation, but lacks details on permissions, side effects, error handling, or response format. This is a significant gap for a tool with 10 parameters and no output 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, efficient sentence that directly states the tool's purpose without unnecessary words. It's front-loaded and wastes no space, making it easy to parse quickly.

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?

Given the complexity (10 parameters, no annotations, no output schema), the description is inadequate. It doesn't explain what a 'fixture instance' entails in this domain, how creation interacts with other tools, or what the tool returns. For a mutation tool with rich parameters, more context is needed.

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?

The schema description coverage is 100%, meaning all parameters are documented in the input schema itself. The description adds minimal value beyond the schema by mentioning 'manufacturer/model details', but it doesn't elaborate on parameter interactions or usage nuances. Baseline 3 is appropriate when the schema does the heavy lifting.

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 clearly states the action ('Create a new fixture instance') and specifies the resource ('in a project with manufacturer/model details'), making the purpose understandable. It doesn't explicitly differentiate from sibling tools like 'update_fixture_instance' or 'suggest_channel_assignment', which prevents a perfect score.

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?

The description provides no guidance on when to use this tool versus alternatives like 'update_fixture_instance' or 'suggest_channel_assignment', nor does it mention prerequisites or context for usage. It's a basic statement of function without operational context.

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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