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bbernstein

LacyLights MCP Server

by bbernstein

bulk_create_fixtures

Create multiple lighting fixtures at once, processing each individually for partial success. Auto-assign DMX channels, validate availability, and return per-fixture results.

Instructions

Create multiple fixture instances with best-effort approach. Each fixture is processed individually, allowing partial success if some fixtures fail. Returns detailed success/failure information for each fixture. Automatically assigns DMX channels if not specified. Validates channel availability before creation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fixturesYesArray of fixtures to create

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.7.0

TDQS

A4/5.0
Behavior4/5

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

No annotations are provided, so the description carries the full burden. It discloses the best-effort partial-failure model, per-fixture success/failure reporting, automatic DMX channel assignment, and pre-creation validation — substantive behavioral context for a mutation tool. It stops short of stating permissions, rollback semantics, or return format.

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?

Four short sentences, front-loaded with the core action and failure model, each carrying a distinct behavioral fact. No filler or repetition.

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?

For a single-parameter bulk mutation with no output schema, the description covers failure semantics, auto-assignment, and validation adequately. It lacks explicit guidance on error-recovery expectations and sibling routing, keeping it just shy of complete.

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?

Parameter count is 1 and schema description coverage is 100%, so the schema already documents every nested fixture field. The description only adds that startChannel is optional ('auto-assign'), which the schema also states. Baseline 3 is appropriate.

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?

States a specific verb and resource ('Create multiple fixture instances'), and the 'bulk' qualifier plus 'best-effort approach' distinguishes it from the singular create_fixture_instance sibling. An agent can select it without opening the schema.

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?

Implies batch use via 'multiple fixture instances' and 'partial success', but never explicitly says when to use this versus create_fixture_instance or bulk_update_fixtures. No when-not or exclusion guidance is given.

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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