humanize_clip_timing

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

With no annotations provided, the description carries full responsibility for behavioral disclosure. It states that timing variation is random and gives an 'amount' parameter, but does not mention whether the operation is destructive to original timing, whether it affects all notes or selected notes, or how the randomness is distributed. No prerequisites, reversibility, or side effects are 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 minimal and efficiently structured: a single-purpose sentence followed by a clear parameter list. There is zero fluff, and the main purpose is front-loaded. Every sentence adds value.

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 explains the tool's purpose and parameters adequately, but for a tool with no annotations and no output schema, it lacks information about return values, error conditions, and the precise effect on clip data (e.g., whether note durations are also altered). It does not address the relationship to similar tools, leaving some contextual gaps for an AI agent deciding on invocation.

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 description provides comprehensive parameter explanations that directly compensate for the lack of schema descriptions (0% coverage). It explicitly defines 'track_index' and 'clip_index', and gives concrete interpretative guidance for 'amount' with examples ('0.05 = subtle, 0.1 = moderate, 0.2 = heavy'). This fully clarifies the parameter semantics beyond the schema's bare field names.

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: 'Add random timing variation to notes in a clip for a more human feel.' This uses a specific verb ('Add') and identifies the resource ('notes in a clip'). It distinguishes itself from sibling tools like humanize_clip_velocity (velocity vs. timing) and quantize_clip_notes (quantization vs. randomization).

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 gives no explicit when-to-use or when-not-to-use guidance relative to alternatives. It only implies usage through the phrase 'for a more human feel.' There is no mention of preferring this over apply_groove or quantize_clip_notes, so usage context is implicit rather than explicit.

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