suno_generate_from_description

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

With no annotations provided, the description carries full burden for behavioral disclosure. It states the tool generates a song and Suno AI writes lyrics, but lacks critical details: it doesn't mention whether this is a synchronous or asynchronous operation (contrasting with 'suno_wait_for_songs'), what the output format is, potential rate limits, authentication requirements, or error conditions. For a generative AI tool with no annotation coverage, this is insufficient.

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 extremely concise with just two sentences that directly state the tool's function. Every word earns its place, with no redundant or unnecessary information. It's front-loaded with the core purpose and efficiently adds one clarifying detail about lyrics.

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 of song generation (a creative AI task with potential async behavior) and the absence of both annotations and output schema, the description is incomplete. It doesn't explain what happens after generation, how to retrieve results, error handling, or relationship to sibling tools like 'suno_check_status' and 'suno_download_song'. For a tool in this context, more guidance is needed.

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 100%, so the schema already documents all three parameters thoroughly. The description doesn't add any parameter-specific information beyond what's in the schema properties. The baseline score of 3 reflects adequate coverage via the schema alone, with no extra value from the description.

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 song from a text description' specifies the verb (generate) and resource (song), and 'Suno AI will write the lyrics' adds detail about the AI's role. However, it doesn't explicitly distinguish this tool from sibling 'suno_generate_song', leaving some ambiguity about when to use each.

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 no guidance on when to use this tool versus alternatives like 'suno_generate_song' or other siblings. It mentions Suno AI writes lyrics, but doesn't specify prerequisites, exclusions, or contextual usage scenarios. The agent must infer usage from the name and parameters alone.

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