SunoMCP

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

With no annotations provided, the description carries full disclosure burden. It mentions 'Task ID' in the returns section, hinting at asynchronous behavior, but fails to explicitly state that this creates a background task requiring polling (via suno_get_task) or webhook callback. Does not mention rate limits or processing time.

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?

Well-structured with front-loaded purpose, technical context, bulleted usage scenarios, and returns section. Every sentence serves a distinct function; no redundancy or fluff.

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 output schema exists and parameters are fully documented, the description provides sufficient context. Minor gap in not explaining the async workflow implications of the returned Task ID, but the presence of callback_url in schema partially compensates.

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% (both audio_id and callback_url are well-described in the schema). The description does not add parameter-specific guidance beyond the schema, which is acceptable baseline given the high schema coverage.

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 extracts MIDI data (melodic/rhythmic information) from a generated song. It effectively distinguishes from siblings like suno_get_wav or suno_get_mp4 by specifying the MIDI format and DAW use case.

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?

Excellent explicit guidance with 'Use this when:' followed by three specific scenarios (editing melody in DAW, needing note-level data, recreating with different instruments). This clearly signals when to select this tool over audio extraction alternatives.

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