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mcp_opendaw_create_value_clip

Creates an automation clip on a specified automation track in session view, enabling precise automation control.

Instructions

Create a value clip (automation clip) on an automation track in session view.

Uses ProjectApi.createValueClip — creates a ValueClipBox with an empty ValueEventCollectionBox on the specified automation (Value-type) track.

unit_index: Audio unit index. track_index: Automation track index (-1 = first automation track on the unit). name: Clip label. clip_index: Clip slot index (0-based).

Returns clip creation details.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
clip_indexYes
unit_indexYes
track_indexYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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 creating a ValueClipBox with an empty ValueEventCollectionBox and references ProjectApi.createValueClip, which gives some insight into the internal operation. However, it does not disclose side effects, state changes, or whether the operation is reversible. The description is moderately transparent but lacks depth.

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 front-loaded with a clear purpose statement, followed by a brief note on the underlying API and a parameter list. Every sentence adds value; there is no extraneous information. It is moderately sized and well-structured for an AI agent to parse.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the output schema exists (though not shown), the description does not need to detail return values beyond 'Returns clip creation details.' It covers the essential scope (creation on automation track) and parameter roles. However, it lacks information on prerequisites (e.g., track must exist) and potential errors (e.g., invalid clip_index). The context is adequate but not exhaustive.

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?

The description explains each parameter beyond the input schema: unit_index as 'Audio unit index', track_index as 'Automation track index (-1 = first automation track on the unit)', name as 'Clip label', and clip_index as 'Clip slot index (0-based)'. Since the schema has 0% coverage (no descriptions), the description effectively compensates and provides meaningful context.

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 'Create a value clip (automation clip) on an automation track in session view.' It specifies the action (create), resource (value clip on automation track), and context (session view). Among many 'create_*' siblings, this tool is distinctly targeted at automation tracks, leaving no ambiguity.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives like mcp_opendaw_create_automation_event or mcp_opendaw_add_automation. It does not specify prerequisites or contraindications, leaving the agent to infer usage context from the tool name alone.

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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