mcp_opendaw_create_automation_event

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 transparently covers the create-or-update semantics, the interpolation options ('none', 'linear', 'curve'), the curve_slope dependency on interpolation, and the return behavior ('Returns the created/updated event info, or error'). It does not mention error conditions or permissions, but the key behavioral traits are well disclosed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is organized with a brief introduction followed by a parameter list. It is slightly longer than necessary because it interleaves the parameter explanations into the description, but every sentence adds value (e.g., interpolation meanings, curve_slope usage). The structure is readable and front-loaded with the core purpose.

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

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

The tool has an output schema, so the description does not need to detail return values. It covers the primary behavior, parameter semantics, and the upsert condition. It lacks information about prerequisites (e.g., the track must be a value track) and failure scenarios, but overall it is sufficiently complete for an agent to invoke the tool correctly in most scenarios.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must fully compensate—and it does. Every parameter is explained: unit_index (AU index), track_index (Value track index), position_beats (Position in beats, float), value (Normalized 0.0-1.0), interpolation (allowed values and meaning), and curve_slope (range, default, and only used when interpolation='curve'). This exceeds the minimal requirement and provides actionable semantics.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's function: 'Create a single automation event at a specific position on a value track.' It also specifies the upsert behavior ('If an event already exists at the same position, its value is updated'), which distinguishes it from sibling tools like update_automation_event, delete_automation_event, and move_automation_event.

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

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

The description implies usage context by explaining the single-event creation/update behavior and detailing the interpolation types and value normalization. However, it does not explicitly mention when to prefer this over the dedicated update_automation_event tool, nor does it state any exclusions (e.g., for bulk automation operations). The context is clear but lacks explicit alternatives.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.