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build_set_list

Create a set-list sequence linking each song cue to a macro trigger for automated lighting control.

Instructions

Create a set-list sequence with cue-to-macro links.

Stores a sequence, then for each song creates a cue and assigns a
macro trigger to its CMD field. Each song dict must contain:
    cue_id (int): Cue number in the set-list sequence
    macro_id (int): Macro to trigger via cue CMD
    name (str): Name for the cue

Args:
    sequence_id: Sequence number for the set list
    sequence_name: Label for the set-list sequence
    songs: List of song definition dicts

Returns:
    str: Operation result message

Examples:
    - Build a set list with 3 songs linking cues to macros

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sequence_idYes
sequence_nameYes
songsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

The description explains that the tool stores a sequence, creates cues for each song, and assigns macro triggers to cue CMD fields. It also notes the return type (a result message). No annotations are provided, so the description carries the burden.

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 concise: a one-line purpose, a paragraph explaining the process and required song structure, and an example. Every sentence is useful and well-organized.

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?

Given the tool has 3 required parameters and an output schema (though not shown), the description covers the core functionality, input format, and return type. It lacks error handling or edge case details, but for a typical usage scenario it is sufficient.

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 input schema has no parameter descriptions (0% coverage), so the description must compensate. It clarifies that 'songs' is a list of dicts with required keys (cue_id, macro_id, name), but for 'sequence_id' and 'sequence_name' it only provides minimal labels ('Sequence number', 'Label'). This adds some value but not enough for full clarity.

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 verb 'Create' and the resource 'set-list sequence' with 'cue-to-macro links'. This distinguishes it from sibling tools like 'create_song_objects' or 'set_cue_cmd', which have different purposes.

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?

The description outlines when to use the tool (to build a set list with cue-macro links) and provides the required structure of the songs parameter, but it does not explicitly mention alternatives or when not to use it.

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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