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text_to_sound

Generate audio from text prompts using Suno models. Returns a task ID and output URLs for the created sound.

Instructions

Create a Suno task on RunAPI (text to sound). Returns a task id, status, and output URLs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptYes
sound_keyNo
sound_loopNo
grab_lyricsNo
sound_tempoNo
callback_urlNo
waitNoPoll until the task reaches a terminal status.
timeout_msNo
poll_interval_msNo
modelNoRunAPI model slug for this model line.
Behavior2/5

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

No annotations provided, so description must disclose behavioral traits. It mentions task creation and return values but omits that the process may be asynchronous (implied by wait parameter), how status works, or any limitations. Missing details on auth, rate limits, or error behavior.

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

Conciseness3/5

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

Description is a single sentence and front-loaded, which is efficient. However, it omits necessary details, making it too terse to be fully helpful. It balances conciseness with incompleteness.

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

Completeness1/5

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

With 10 parameters, no output schema, and no annotations, the description is severely incomplete. It does not explain the asynchronous nature, output structure, or how to handle results. An agent cannot use this tool effectively without additional context.

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

Parameters2/5

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

Schema description coverage is only 20% (only wait and model have descriptions). The tool's own description adds no parameter information, leaving 8 parameters undocumented. Agents would not understand the meaning of sound_key, sound_loop, etc.

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?

Description clearly states the tool creates a Suno task for text-to-sound conversion and returns task id, status, and output URLs. However, it does not differentiate from sibling tool text_to_music, which likely offers similar functionality.

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 on when to use this tool versus alternatives like text_to_music or generate_lyrics. No mention of prerequisites or preferred use cases.

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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