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mcp_opendaw_merge_note_regions

Merge two note regions on the same track into one, preserving original note timing and extending region duration to cover both, with gaps as silence.

Instructions

Merge two note regions on the same track into one.

Copies all notes from region B into region A's note collection, adjusting positions so they remain at their original absolute timeline position. Region A's duration is extended to cover both regions. Region B is deleted.

The regions do not need to be adjacent — if there's a gap between them, the merged region spans the full range (with silence in the gap).

Use cases:

  • Join verse + chorus into one continuous region

  • Consolidate split regions back together

  • Merge separately-recorded MIDI takes

  • Simplify arrangement before export

unit_index: AU index. track_index: Note track index. region_index_a: First region (keeps its identity, absorbs B's notes). region_index_b: Second region (deleted after merge).

Returns merged region details.

Example:

Merge regions 0 and 1 into one

merge_note_regions(0, 0, 0, 1)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
unit_indexYes
track_indexYes
region_index_aYes
region_index_bYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

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

With no annotations, the description carries full burden and delivers: explicitly states B is deleted, A is extended, positions adjusted, silence fills gaps, and returns merged details. This is exceptional disclosure for a mutating operation.

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?

Well-structured with intro, behavior, edge case, use cases, parameter definitions, return note, and example. No redundant sentences; all content earns its place.

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?

Output schema exists, so return values are covered. Description includes algorithm details, non-adjacent gap behavior, and example. Missing domain context on what 'AU' stands for, but overall complete for a mutating region merge tool.

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 provides only titles with 0% description coverage; description compensates by explaining each parameter's role (AU index, track index, region A as identity-preserving absorber, region B as deleted). Adds example call. Minor gap: 'AU index' is not elaborated, but sufficient for invocation.

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?

States clearly it merges two note regions on the same track into one, with specific behavior (copies notes from B to A, deletes B). Distinguishes from sibling tools like merge_note_tracks and merge_consecutive_notes by specifying same-track scope and region-level operation.

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?

Lists concrete use cases (joining verse+chorus, consolidating split regions, merging MIDI takes, simplifying arrangement) that signal when to invoke. Does not explicitly name alternatives or state when not to use, but the context is clear enough.

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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