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mcp_opendaw_create_random_walk_melody

Generates melodic patterns by walking up or down a scale randomly. Each note depends on the previous one, creating coherent stepwise motion with controlled unpredictability.

Instructions

Create a melody using a random walk through a scale — stochastic generation.

Each note is chosen by walking up or down the scale from the previous note. The walk is constrained by max_step (how many scale degrees can move per step) and direction_bias (probability of ascending vs descending).

This produces melodies that feel coherent (smooth stepwise motion) yet unpredictable — the hallmark of generative music. Brian Eno's generative systems, Xenakis's stochastic pieces, ambient textures, IDM melodies.

Unlike generate_melody (contour-guided weighted random), random walk produces stepwise motion where each note depends on the previous one — creating the melodic continuity that contour guidance doesn't guarantee.

Args: root: Root note name (C, C#, D, ...). scale: Scale name (major, minor, dorian, phrygian, lydian, mixolydian, harmonic_minor, melodic_minor, pentatonic_major, pentatonic_minor, blues). bars: Number of bars (1-32). At default duration=0.5, 4 bars = 32 notes. octave: Starting MIDI octave (1-6, default 4 = C4=60). max_step: Maximum scale steps per move (1-7, default 3). 1 = only adjacent scale tones (very smooth, stepwise). 2 = allow skips of up to a third. 3 = up to a fourth (mix of steps and skips). 5 = up to a sixth (dramatic leaps). 7 = full octave (free movement). direction_bias: -1.0 to +1.0 (default 0 = equal up/down). Negative = tend downward, positive = tend upward. 0.5 = 75% chance up, 25% down. duration: Note duration in beats (0.0625-4.0, default 0.5 = eighth). duration_variation: "none" (uniform), "slight" (+/-50%), "wide" (16th to half), "dotted" (mix of dotted and straight). rest_probability: 0-0.5 (default 0 = no rests). Inserts rests instead of notes at the given probability. velocity: Base velocity 0-1. velocity_variation: "none" (uniform), "slight" (+/-0.1), "dynamic" (+/-0.3), "human" (gaussian-ish, +/-0.15). boundary_behavior: "reflect" (bounce back at octave limits), "wrap" (wrap around), "clamp" (stay at boundary). seed: PRNG seed for reproducibility. unit_index: AU index. track_index: Note track index. start_beat: Starting beat position.

Returns notes created, walk statistics (range, average interval, direction ratio), and seed for reproducibility.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
barsNo
rootNoC
seedNo
scaleNominor
octaveNo
durationNo
max_stepNo
velocityNo
start_beatNo
unit_indexNo
track_indexNo
direction_biasNo
rest_probabilityNo
boundary_behaviorNoreflect
duration_variationNonone
velocity_variationNonone

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations provided, so description carries full burden. It explains stochastic generation, random walk mechanics, constraints (max_step, direction_bias), and output (notes, walk statistics, seed). However, it does not explicitly state whether the tool modifies existing notes or appends, nor does it mention potential side effects on the project state.

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?

Well-structured with opening summary, algorithm explanation, sibling comparison, and parameter list. Somewhat verbose with artistic references (Brian Eno, Xenakis) but adds context. Front-loaded with key concept.

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?

Covers all 16 parameters, explains output schema (notes, walk statistics, seed). Complex tool with many parameters, and description provides sufficient detail. Minor gap: does not specify if notes are appended or replaced, and 'AU index' is not explained.

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

Parameters5/5

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

Schema has 0% description coverage (no parameter descriptions), but the description details every parameter with default values, ranges, and behavioral explanations (e.g., max_step: '1 = only adjacent scale tones (very smooth, stepwise)'). This fully compensates for the lack of schema descriptions.

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 explicitly states 'Create a melody using a random walk through a scale — stochastic generation.' It clearly differentiates from sibling tool generate_melody by explaining the algorithm and resulting characteristics (stepwise motion, each note depends on previous).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides explicit contrast with generate_melody: 'Unlike generate_melody (contour-guided weighted random), random walk produces stepwise motion...creating melodic continuity that contour guidance doesn't guarantee.' Also gives example applications (Brian Eno, Xenakis, ambient, IDM) to indicate appropriate use cases.

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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