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mcp_opendaw_automation_sweep

Generate interpolated automation events for smooth parameter transitions (filter, volume, pitch) over a beat range with linear, exponential, or logarithmic curves.

Instructions

Create a smooth automation sweep (ramp) between two values over a beat range.

Generates multiple automation events with interpolated values, creating smooth parameter transitions (filter sweeps, volume fades, pitch drops, etc.) in one call. Automatically creates the automation track if it doesn't exist yet.

unit_index: AU index. parameter_name: Instrument parameter to automate (e.g. "cutoff", "volume", "resonance"). start_beat: Start position in beats. end_beat: End position in beats. start_value: Starting normalized value (0.0-1.0). end_value: Ending normalized value (0.0-1.0). steps: Number of interpolation points (default 16, more = smoother). curve: "linear" (even spacing), "exp" (exponential, good for filter sweeps), "log" (logarithmic).

Returns the number of events created and a preview of the first few points.

Example: Filter sweep from closed (0.1) to open (0.9) over 16 beats: automation_sweep(unit_index=0, parameter_name="cutoff", start_beat=0, end_beat=16, start_value=0.1, end_value=0.9, steps=32, curve="exp")

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
curveNolinear
stepsNo
end_beatYes
end_valueYes
start_beatYes
unit_indexYes
start_valueYes
parameter_nameYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations provided, the description carries the full burden. It discloses key behaviors: generates multiple interpolation points, auto-creates automation track, and returns event count and preview. It does not mention potential overwriting of existing automation, but it is otherwise transparent.

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-organized with a header, parameter descriptions, return info, and an example. While it is somewhat lengthy, all sentences are relevant and the structure aids readability. Minor redundancy could be trimmed, but it remains effective.

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?

Given the tool's complexity (8 parameters, output schema exists), the description is complete. It covers all parameters, explains return values ('number of events created and a preview'), and provides an example. The existence of an output schema reduces the need for detailed return value description.

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 coverage is 0%, so the description must compensate. It explains all 8 parameters with details: unit_index, parameter_name, start_beat, end_beat, start_value, end_value, steps (default 16), and curve ('linear', 'exp', 'log'). The example further clarifies usage. This adds significant value beyond the 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?

The description clearly states the tool's purpose: 'Create a smooth automation sweep (ramp) between two values over a beat range.' It specifies the verb (create), resource (automation sweep), and differentiates from siblings like add_automation by emphasizing interpolation and multiple events.

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

Usage Guidelines3/5

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

The description provides an example but lacks explicit guidance on when to use this tool versus alternatives like add_automation or create_filter_sweep. Usage is implied through context, but no when-to-use or when-not-to-use instructions are given.

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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