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vapagentmedia

VAP Media · Unified MCP Server for AI Agents (Flux · Veo · Suno)

generate_music

Generates AI music from text descriptions. Specify genre, mood, instruments, tempo, and vocals or instrumental for async audio creation.

Instructions

Generate AI music from text description using VAP (Suno V5_5). Returns a task ID for async tracking. Cost: $0.68.

IMPORTANT: Send ONLY the music description. Do NOT include any instructions or meta-text.

Describe: genre, mood, instruments, tempo, vocal style (or specify instrumental).

Example prompt: "Upbeat indie folk song with acoustic guitar, warm vocals, and light percussion. Feel-good summer vibes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptYesMusic description (200-500 chars recommended). Include genre, mood, instruments, tempo.
instrumentalNoGenerate without vocals (instrumental only)
durationNoTarget duration in seconds (30-480, default 120 = 2 min)
loudness_presetNoLoudness normalization. streaming=-14 LUFS (YouTube/Spotify), apple=-16 LUFS, broadcast=-23 LUFS (TV/EBU R128)streaming
audio_formatNoOutput format. WAV for enterprise/lossless (+$0.10)mp3
Behavior4/5

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

No annotations provided, so description carries full burden. Discloses async nature (returns task ID), cost ($0.68), and model used. Could mention failure modes or rate limits, but cost and async behavior are well communicated.

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?

Efficiently structured: main purpose first, important usage note, guidance on content, example. No redundant sentences; each sentence adds value.

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

Completeness4/5

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

Covers inputs, cost, important constraints, and example. Lacks details on return value (task ID) and any authentication or rate limits, but sufficient for understanding the tool's core functionality.

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

Parameters4/5

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

Schema coverage is 100% (baseline 3). Description adds value by explaining cost implications for audio_format (WAV adds $0.10) and providing LUFS details for loudness_preset. Reinforces prompt format beyond schema.

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

Purpose5/5

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

Clearly states it generates AI music from text description using VAP (Suno V5_5) and returns a task ID for async tracking. Distinguishes from sibling tools like generate_image and generate_video.

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

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides explicit when-to-use (generate music), important note to send only the description, and guidance on content (genre, mood, etc.) with an example. Lacks explicit when-not-to-use or comparison to alternatives.

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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