suno_generate_track

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 states the tool generates music but doesn't cover critical aspects like whether it's a read-only or destructive operation, authentication requirements, rate limits, or what the output contains (though an output schema exists). The description is minimal and lacks behavioral context beyond the basic action.

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 appropriately sized and front-loaded: it starts with a clear purpose statement, followed by a structured 'Args' section listing parameters with brief explanations. Every sentence earns its place, with no redundant or verbose content. It's efficient and well-organized.

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 complexity (a generative AI tool with 4 parameters) and the presence of an output schema, the description is partially complete. It covers the basic purpose and parameters but lacks behavioral context (e.g., authentication, side effects) and usage guidelines. The output schema mitigates the need to explain return values, but other gaps remain, making it adequate but with clear omissions.

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%, but the description compensates by explaining all 4 parameters in the 'Args' section: prompt, style, lyrics, and duration. It adds meaning beyond the schema by providing examples (e.g., style values like 'synthwave') and clarifying optionality (lyrics is optional). This effectively documents the parameters, though it doesn't detail constraints like format or length.

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: 'Generate a new music track using Suno AI.' It specifies the verb ('Generate') and resource ('music track'), but doesn't differentiate from sibling tools like suno_track_remix or suno_track_extend, which also create or modify tracks. The purpose is clear but lacks sibling distinction.

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?

No guidance is provided on when to use this tool versus alternatives. The description doesn't mention sibling tools like suno_track_remix (for remixing) or suno_track_extend (for extending tracks), nor does it specify prerequisites (e.g., needing to be logged in with suno_login) or contextual constraints. Usage is implied but not explicit.

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