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bbernstein

LacyLights MCP Server

by bbernstein

add_cue_to_list

Add a new lighting cue to an existing cue list with specified number, name, scene, fade times, and position relative to other cues.

Instructions

Add a new cue to an existing cue list

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesName for the new cue
notesNoNotes or description for the cue
sceneIdYesScene ID to use for this cue
positionNoPosition relative to reference cue
cueListIdYesCue list ID to add cue to
cueNumberYesCue number (e.g., 1.5, 2.0)
fadeInTimeNoFade in time in seconds
followTimeNoAuto-follow time in seconds (null for manual)
fadeOutTimeNoFade out time in seconds
referenceCueNumberNoCue number to insert before/after
Behavior2/5

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

Without annotations, the description carries full burden for behavioral disclosure. It only states 'Add a new cue,' implying mutation, but omits details like whether the cue list must exist, validation of cue number uniqueness, error handling, or return 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 a single concise sentence with no redundant information. While it is efficient, it could benefit from slightly more detail without becoming verbose.

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?

For a tool with 10 parameters and no output schema, the description is too brief. It does not explain return values, prerequisites, or side effects, leaving significant gaps for an agent to use correctly.

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 coverage is 100%, so the input schema already describes all 10 parameters thoroughly. The description adds no additional meaning beyond the schema, warranting the baseline score of 3.

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 clearly states the tool adds a new cue to an existing cue list, using a specific verb and resource. This distinguishes it from sibling tools like update_cue, remove_cue_from_list, or create_cue_sequence.

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?

No guidance is provided on when to use this tool versus alternatives. For example, it does not specify whether to use this for single cue addition vs create_cue_sequence for bulk operations.

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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