Skip to main content
Glama

mcp_opendaw_set_automation_interpolation

Set interpolation type for an automation event to control how the curve transitions to the next. Choose none, linear, or curve with adjustable slope.

Instructions

Set the interpolation type of an existing automation event.

Changes how the automation curve transitions from this event to the next.

unit_index: AU index. track_index: Value (automation) track index. region_index: Region index containing the event. event_index: Event index within the region's collection. interpolation: "none" (step/hold), "linear" (straight ramp), or "curve" (custom slope). curve_slope: Slope for curve interpolation (0.0-1.0). Only used if interpolation="curve".

Returns success, or error.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
unit_indexYes
curve_slopeNo
event_indexYes
track_indexYes
region_indexYes
interpolationYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description carries the burden. It discloses the main behavior (set interpolation, affects curve) and notes that curve_slope only applies to 'curve' interpolation. However, it doesn't discuss side effects, reversibility, or error conditions beyond 'Returns success, or error'.

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?

The description is front-loaded with the main purpose, followed by a single line on effect, then a structured parameter list, and a brief return note. No wasted words; every sentence adds value.

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 has 6 parameters and no annotations, the description covers parameters comprehensively and the core behavior. The output schema likely handles return details. It could mention prerequisites (e.g., the event must exist) but that's an acceptable gap.

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 description coverage is 0%, but the description fully compensates by explaining every parameter's meaning, including allowed values for 'interpolation' and the range for 'curve_slope', plus the conditional use of curve_slope. This is exemplary compensation for the schema gap.

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 verb 'Set' and the specific resource 'interpolation type of an existing automation event'. This distinguishes it from sibling tools like create/delete/update automation event, and the effect is clarified by 'Changes how the automation curve transitions from this event to the next'.

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?

Provides clear context: it affects the transition from this event to the next, implying it's for modifying an existing event's interpolation. Does not explicitly name alternatives or exclusion cases, but the context is strong enough to infer when to use.

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-ai/opendaw-mcp'

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