quantize_clip_notes

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It explains the operation ('quantize notes') and parameters but does not mention potential side effects (e.g., altering all notes in the clip, irreversibility, or that it only affects MIDI clips). It lacks context about the nature of the modification, which is critical for a mutation tool.

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 single purpose statement followed by a clear parameter list with examples. Every sentence serves a purpose, with no redundant or vague filler. It is easy to scan and quickly understand the tool's function.

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 description covers the operation and all parameters, which is good for a simple tool. However, there are no annotations and no output schema, so the description should also address usage context and behavioral effects. It omits any mention of when to use this tool or what side effects to expect (e.g., all notes are affected, quantization strength). Thus, it is minimally complete but with clear gaps.

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 no descriptions for its properties (0% coverage), so the description compensates by providing meaningful explanations for all three parameters. It clarifies track_index and clip_index as locators and gives concrete grid value examples (0.25, 0.5, 1.0). This adds real value beyond the raw 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 begins with a clear, specific verb+resource statement: 'Quantize notes in a clip to a grid.' This distinguishes it from the sibling tool 'quantize_clip' (likely clip-level quantization) and other note-editing tools like 'humanize_clip_timing.' The intent is unambiguous.

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 states what the tool does but does not explicitly say when to use it over alternatives. The name itself differentiates from 'quantize_clip,' but there is no guidance on when to choose note-level quantization versus other timing operations. Usage is implied by the description, not explicitly directed.

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