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mcp_opendaw_create_call_response

Creates musical call-and-response patterns with call (antecedent) and response (consequent) phrases, structuring a musical question and answer. Ideal for blues, jazz, hip-hop, electronic, and folk music composition.

Instructions

Create a call-and-response pattern — antecedent/consequent phrase structure.

The call (antecedent) poses a musical question, the response (consequent) answers it. This is the foundation of blues, jazz, hip-hop, electronic, and folk music. The pattern alternates: call → response → call → response, with the response starting after the call ends.

scale: Scale type (major, minor, blues, dorian, etc. — 14 types from music_theory). root: Root note name (C, C#, D, ... B). call_pattern: Scale degrees for the call phrase, space-separated (1-7, 0=rest, -=sustain). Example: "1 3 5 3" — rising and falling 4-note motif response_pattern: Scale degrees for the response phrase, space-separated. Example: "5 4 3 2" — descending answer repeats: Number of call+response pairs (1-8). 2 = call-response-call-response. octave: Starting octave (1-7, default 4). velocity: Note velocity 0-1. step_duration: Duration of each step in beats (0.25 = 16th, 0.125 = 8th triplet).

Returns total notes created and phrase structure.

Example: create_call_response(scale="blues", root="A", call_pattern="1 3 5 3", response_pattern="5 4 3 2", repeats=4)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
rootYes
scaleYes
octaveNo
repeatsNo
velocityNo
start_beatNo
unit_indexNo
track_indexNo
call_patternYes
step_durationNo
response_patternYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description bears the full burden. It explains the behavioral pattern (call→response→call→response) and parameter effects, but it doesn't disclose side effects like where notes are placed (track/unit) or whether it mutates existing project state. This is a partial disclosure, not a full one.

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 well-structured: it leads with a clear purpose, provides musical context, lists parameters with examples, states return values, and gives a usage example. It is slightly verbose with genre enumeration, but each sentence contributes useful information.

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

Completeness3/5

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

The description covers core musical semantics, return values, and provides a concrete example, which is good for a generation tool. However, it misses placement-related parameters (track_index, unit_index, start_beat) and doesn't specify which scale types are included beyond a vague reference to music_theory. These gaps matter for a tool with 11 parameters and no annotations.

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 description coverage is 0%, so the description compensates well by explaining 8 of 11 parameters, including scales, root, patterns, repeats, octave, velocity, and step_duration, with examples and ranges. However, it omits start_beat, unit_index, and track_index, which are present in the schema and important for placement.

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 creates a call-and-response pattern with antecedent/consequent phrasing, which is specific and actionable. However, it doesn't differentiate from the sibling tool `create_call_and_response`, which appears to serve the same purpose, so it loses a point for sibling distinction.

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 provides clear context on when to use the tool (e.g., for blues, jazz, hip-hop, electronic, and folk music) and explains the pattern alternation. It doesn't explicitly mention when not to use it or name alternatives, but the context is strong enough to guide selection.

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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