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mcp_opendaw_save_effect_preset

Save an audio effect chain as a shareable .opb preset file. Specify the unit, effect index, and name to export a preset ready for reuse in openDAW.

Instructions

Save an audio effect chain as a .opb preset file.

Encodes the specified effect (and its position in the chain) into an openDAW preset bundle (.opb) using PresetEncoder.encodeEffects(). The file can be shared, drag-and-dropped into openDAW, or loaded via mcp_opendaw_load_effect_preset.

unit_index: Audio unit index containing the effect. effect_index: Index of the effect within the unit's audio effect chain. name: Preset name (shown in preset browser). description: Optional description of what the preset does. output_path: Directory to save the .opb file. Defaults to OPENDAW_EXPORT_DIR or /tmp.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
unit_indexYes
descriptionNo
output_pathNo
effect_indexYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions output_path and its default, but does not state whether existing files are overwritten, whether directories are created, or any permission requirements. The internal reference to PresetEncoder.encodeEffects() adds implementation detail but not side-effect transparency.

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 efficiently structured: a one-line summary, a brief implementation note, and a parameter list. The mention of PresetEncoder.encodeEffects() is slightly extraneous, but the overall size is appropriate and front-loaded with the main action.

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?

Given the tool complexity (5 parameters, output schema present), the description covers core semantics and defaults effectively. It omits details like overwrite behavior and precise return values, but the output schema exists and the parameter explanations are sufficient for typical use.

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 fully explains each parameter: unit_index, effect_index, name, description, and output_path, including the default behavior for output_path. This adds essential meaning beyond the bare schema properties, making parameter usage clear.

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 it saves an audio effect as a .opb preset file, with a specific verb and resource. The phrase 'audio effect chain' is slightly ambiguous (it saves a single effect), but the next sentence clarifies it encodes the specified effect and its position. It doesn't explicitly distinguish from sibling tools like export_effect_chain, but mention of the load counterpart adds context.

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 gives a clear use case: the file can be shared, drag-and-dropped, or loaded via mcp_opendaw_load_effect_preset. It provides context for when to use the tool, but lacks explicit exclusions or comparison to alternatives like export_effect_chain. The guidance is clear but not exhaustive.

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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