mcp_opendaw_quantize_notes

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

The description discloses the core behavior—snapping start positions to the nearest grid line—and how strength affects the result. However, it does not mention potential destructiveness, undo behavior, or whether note durations are affected. Since no annotations are provided, the description carries the burden of behavioral disclosure; the missing details on side effects leave a notable gap.

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 one-line summary, a brief behavioral clarification, parameter definitions, and a return-value note. Each line adds distinct value with no redundancy or fluff. It is front-loaded with the primary purpose, making it easy to scan.

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?

For a moderate-complexity operation with four required parameters and an output schema, the description covers all necessary aspects: what it does, how parameters behave, and what is returned. The parameter ranges and defaults are explicit, and the output count is stated. No significant contextual information is missing.

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 is the only source of parameter meaning. It thoroughly explains all four parameters, including the allowed division values, the sentinel meanings for unit_index and track_index (-1 = all), and the strength value semantics. This fully compensates for the bare input 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 opens with a specific verb and resource: 'Quantize note positions to a grid division.' It clearly states what the tool does and distinguishes it from related note-manipulation tools like humanize_notes or rotate_notes by specifying the grid-snapping action. The return value is also disclosed, completing the purpose.

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 makes the use case clear: aligning note start positions to a grid with optional partial strength. It explains the meaning of each parameter and the range for strength, providing enough context for an agent to decide when this tool is appropriate. It does not explicitly discuss exclusions or alternatives, but the operation is well-defined.

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