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live_vocal_to_complement_midi

Extracts vocal guide from an audio track range and generates a complementary MIDI melody, automatically creating a new clip in a target MIDI track.

Instructions

End-to-end live flow: render audio from an arrangement audio track range, extract vocal guide, generate complementary melody, create a new arrangement MIDI clip, and write notes into it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
seedNo
confirmNo
densityNo
end_timeYes
registerNomid
clip_nameNoVocal Complement
similarityNo
start_timeYes
call_responseNo
target_midi_track_indexYes
source_audio_track_indexYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations are provided; the description carries the burden. It lists the steps (render, extract, generate, create clip, write notes) but does not disclose side effects, such as whether existing clips are overwritten, or permission requirements. The high-level overview is present but lacks behavioral nuance.

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 that captures the entire workflow. It is front-loaded and avoids fluff, though it could be structured as a list for better readability.

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?

Despite having an output schema (reducing need to describe return values), the tool has 11 parameters and 4 required ones. The description does not explain how to use the required parameters (source_audio_track_index, start_time, etc.) or the optional ones, making it incomplete for effective invocation.

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

Parameters2/5

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

Schema description coverage is 0%, and the description does not explain any parameters (e.g., seed, density, register). With low coverage, the description should compensate but fails to add meaning to parameters.

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 tool performs an end-to-end live flow: rendering audio, extracting vocal guide, generating complementary melody, creating a MIDI clip, and writing notes. This distinguishes it from sibling tools like midi_generate_complement which likely only do part of the pipeline.

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 explicit guidance on when to use this tool vs alternatives (e.g., midi_vocal_to_complement). No prerequisites or context provided, which is a gap given the many sibling tools.

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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