suno_optimize_style

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

No annotations are provided, so the description bears full burden for behavioral transparency. It describes input (rough style description) and output (optimized prompt) but does not disclose any side effects, authorization needs, rate limits, or limitations. The behavior is predictable as a simple transformation, but more detail on the optimization process would improve transparency.

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 front-loaded with the main purpose. It includes bullet points for usage and a return statement. The 'Returns:' section is slightly redundant but not harmful. Overall, it is well-structured and efficient.

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 tool's simplicity (one parameter, no nested objects, output schema present), the description is complete. It covers the input, output, and usage context. No additional information is necessary for an agent to use this 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?

Schema coverage is 100% with one required parameter 'prompt'. The description adds meaningful examples (e.g., 'rock guitar', 'jazz smooth') that clarify acceptable input beyond the schema's description, which only says 'Style prompt words that need to be optimized.'

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: 'Optimize a music style description for better generation results.' It identifies the specific resource (style description) and action (optimize), and distinguishes it from sibling tools like suno_generate_custom_music by noting it refines prompts for better generation.

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 explicit use cases: vague style idea, better style prompts for suno_generate_custom_music, and style term suggestions. It does not explicitly state when not to use or list alternatives, but the use cases are clear enough for selection among siblings.

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