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store_cue_across_sequences

Store a lighting cue across a range of sequences. Specify cue number, start and end sequence numbers, and optionally assign a name to each cue.

Instructions

Store a cue across a range of sequences.

Iterates over every sequence in the range and stores the specified cue.
Optionally assigns a name to each stored cue.

Args:
    cue_id: Cue number to store (e.g., 1, 0.5)
    sequence_start: First sequence number in the range
    sequence_end: Last sequence number in the range (inclusive)
    cue_name: (Optional) Name for the cue

Returns:
    dict: Result with commands_sent, count, and summary

Examples:
    - Store cue 0.5 across sequences 101-125 with name "((LOADING SONG))"
    - Store cue 1 in sequence 101

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cue_idYes
sequence_startYes
sequence_endYes
cue_nameNo
Behavior4/5

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

With no annotations, the description carries full burden. It explains the iterative behavior, optional naming, and return structure (commands_sent, count, summary). No contradictions present.

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?

Description is concise with clear sections (Args, Returns, Examples). Every sentence adds value without redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with no annotations, no output schema, and 4 parameters, the description fully explains purpose, parameters, behavior, and return value. Complete for its complexity.

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

Parameters4/5

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

Schema coverage is 0%, so description compensates by explaining each parameter's role (cue_id, sequence_start/end, cue_name optional) and providing realistic examples. Adds meaning beyond raw schema.

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?

Description clearly states 'Store a cue across a range of sequences' with specific verb-resource combination. It distinguishes from sibling tools like 'store_cue' by explicitly mentioning iteration over a range of sequences.

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 description implies usage for batch storage over a sequence range but does not explicitly state when to use versus alternatives like 'store_cue'. No exclusions or alternative tool mentions are provided.

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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