mcp_opendaw_set_fold_oversampling

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

With no annotations, the description carries full burden. It discloses the parameter values and their meanings but omits potential side effects, reversibility, or error conditions. Adequate for a simple setter.

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?

Extremely concise: two sentences plus parameter list. Front-loaded with purpose, no filler words. 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?

For a simple setter with 3 parameters and an output schema, the description is nearly complete. It covers what the tool does, parameter meanings, and accepted values. Minor lack of error handling info.

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 coverage is 0%, so the description compensates well by explaining each parameter: unit_index, effect_index, and oversampling with value mapping (0=off, 1=2x, 2=4x). Adds significant meaning beyond 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 sets the oversampling level on a Fold (wavefolding) effect, using specific verb+resource. It distinguishes from sibling set_* tools by specifying the effect type.

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 the tool should only be used when the effect is a Fold, but lacks explicit guidance on when to use vs alternatives or when not to use. The constraint 'must be a Fold' provides some direction.

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