Skip to main content
Glama

mcp_opendaw_humanize_pitch

Add micro-detune to MIDI notes to simulate natural intonation imperfections. Humanize pitch drift in programmed instruments for warmer, more realistic sound.

Instructions

Add micro-detune (cents) to notes — intonation humanization.

Real instruments and vocals never play perfectly in tune — there's always slight pitch drift. humanize_notes handles velocity/timing/duration, but pitch stays quantized. This tool adds per-note cent offsets to simulate natural intonation imperfections.

Useful for:

  • String sections that sound too perfect

  • Vocal MIDI parts that need warmth

  • Brass arrangements needing intonation character

  • Any programmed MIDI that feels sterile

unit_index: AU index (-1 = all AUs). track_index: Note track index (-1 = all note tracks on the AU). region_index: Region index (-1 = all regions on the track). cents_depth: Maximum deviation in cents (0-50, default 5 = +/-5 cents). 3 = subtle warmth, 5 = natural, 10 = loose, 20 = detuned, 50 = chaotic. bias: Directional bias in cents (-20 to +20, default 0 = centered). Positive = sharp tendency, negative = flat tendency. Useful for simulating ensembles that drift sharp. seed: Random seed for reproducibility (same seed = same detune pattern).

Returns per-track note counts, total notes detuned, cent range.

Example:

Subtle string warmth

humanize_pitch(unit_index=0, track_index=2, cents_depth=4, seed=7)

Detuned brass

humanize_pitch(unit_index=0, track_index=3, cents_depth=12, bias=-3)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
biasNo
seedNo
unit_indexNo
cents_depthNo
track_indexNo
region_indexNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations provided, but description explains the operation (adds per-note cent offsets), return values (per-track counts, total detuned, cent range), and parameter effects. Lacks explicit statement on reversibility or side effects, but is fairly transparent.

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?

Contains two paragraphs plus a bullet list and an example. Every sentence adds value, no fluff. Front-loaded with purpose and usage, then parameter details, then example.

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?

Complete for a tool with 6 parameters, no annotations, and an output schema. Covers purpose, usage guidelines, parameter semantics, and return value. Includes examples and distinguishes from sibling.

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?

With 0% schema coverage, description fully documents each parameter: unit_index, track_index, region_index with -1 meanings; cents_depth with qualitative examples; bias direction; seed for reproducibility. Adds significant meaning beyond 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?

Clearly states it adds micro-detune (cents) to notes for intonation humanization. Distinguishes from sibling humanize_notes which handles velocity/timing/duration but not pitch.

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?

Explicitly contrasts with humanize_notes and provides specific use cases (string sections, vocal MIDI, brass, sterile MIDI). Tells when to use and when not.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/AMEOBIUS-team/opendaw-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server