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generate_sounds

Generate loopable sound effects with control over BPM, musical key, and seamless looping. The audio downloads to a specified directory.

Instructions

Generate loopable sound effects with BPM, key, and loop control via Suno. Downloads to kie/assets/raw/.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
waitNoSet false to submit and return immediately with the task_id (async mode) — then poll with check_task and fetch with download_result. Recommended for long generations to avoid client-side watchdog timeouts.
modelNoV5
promptYesSound description (e.g. "ambient rain on a tin roof, soft thunder")
filenameNo
soundKeyNoMusical key (e.g. "C", "Am")
soundLoopNoWhether the sound should loop seamlessly
grabLyricsNo
soundTempoNoBPM for the sound
download_dirNoAbsolute directory to save the file(s) into (created if missing). Defaults to the server's kie/assets/raw/. Must be absolute — the MCP server's working directory is not the caller's.
max_wait_secondsNoOverride the blocking-mode polling budget in seconds (defaults: image 600, video 900, audio 300, speech 300). Ignored when wait=false.
Behavior2/5

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

With no annotations, the description carries full burden but only mentions the download path and 'via Suno'. It omits important traits like async task polling, side effects, and rate limits, leaving significant gaps.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two efficient sentences with no wasted words. Front-loaded with core purpose and key attributes, making it easy to parse quickly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with 10 parameters and no output schema, this description is too sparse. It lacks return value info, workflow explanation, and integration of key concepts like async generation, which are critical for correct usage.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 70%, and the description adds context for BPM, key, and loop control parameters. However, it does not elaborate on other crucial parameters like wait or filename, so value above schema is moderate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it generates loopable sound effects with BPM, key, and loop control via Suno, specifying the verb and resource. However, it does not explicitly differentiate from similar sibling tools like generate_music or generate_sfx.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

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. Given many sibling audio tools, explicit usage context is missing.

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

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