mcp_opendaw_quantize_velocities

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

No annotations are provided, so the description carries full burden. It transparently explains the quantizing behavior, modes (snap, floor, ceil, round_random), and parameter effects. It also describes the return format. It does not mention undo capability, but is otherwise thorough.

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 concise and well-structured: a clear one-sentence headline, a short paragraph with analogy and use cases, then a clean argument list, and a return description. Every sentence adds value with no redundancy.

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?

Given the 7 parameters and 2 required, the description covers all parameters and return values. It does not explicitly mention prerequisites (e.g., need a note track with velocities), but that is implied. Overall, it is sufficiently complete for an agent to select and invoke the tool correctly.

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?

The schema has 0% description coverage, but the description fully documents each parameter with detailed explanations. For example, it defines levels values (2-128) with musical meanings, explains all four modes, and clarifies region_index = -1 means all regions. This adds significant semantic value beyond the schema.

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 purpose: 'Quantize note velocities to discrete stepped levels.' It uses specific verb ('Quantize') and resource ('note velocities'), and includes analogy to MPC 16-level mode, distinguishing it from siblings like scale_velocity or humanize_notes.

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 provides use cases: 'Great for creating uniform, robotic feel (techno, industrial) or restoring clean velocity tiers from humanized performance data.' While not explicitly stating when not to use, it implies appropriate contexts and the analogies help. Could be stronger with explicit exclusion of alternatives.

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