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generate_music

Generate AI music from text description using VAP. 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.
durationNoTarget duration in seconds (30-480, default 120 = 2 min)
audio_formatNoOutput format. WAV for enterprise/lossless (+$0.10)mp3
instrumentalNoGenerate without vocals (instrumental only)
loudness_presetNoLoudness normalization. streaming=-14 LUFS (YouTube/Spotify), apple=-16 LUFS, broadcast=-23 LUFS (TV/EBU R128)streaming

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

No annotations exist, so the description carries the full burden. It usefully discloses async execution (task ID) and cost ($0.68), which an agent needs for planning. It says nothing about auth requirements, rate limits, failure modes, or expected generation latency, so the behavioral picture is only half-drawn for a costly mutation.

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

Conciseness4/5

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

Front-loaded with purpose, then the critical 'Send ONLY the music description' warning, then field guidance and an example. The example prompt is arguably redundant with the checklist, keeping it just short of maximal conciseness.

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

Completeness3/5

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

For a 5-param paid async tool with no annotations and no output schema, the description covers cost and the async contract reasonably well. Missing pieces an agent would want: which polling tool to use (get_task vs get_operation), permission/auth needs, and any timeout or failure expectation.

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%, so the baseline is 3; the description earns one more by adding an explicit content checklist (including 'vocal style'), a concrete example prompt, and the anti-pattern warning about meta-text, which the schema does not provide. It still doesn't explain duration/format tradeoffs beyond what the schema already states.

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?

Specific verb+resource: 'Generate AI music from text description using VAP,' and it names the return artifact ('task ID for async tracking') plus the cost. It clearly separates itself by resource from generate_image/generate_video, but never names a sibling or states the exclusion explicitly.

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

Usage Guidelines3/5

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

Strong invocation guidance ('Send ONLY the music description', what to include: genre, mood, instruments, tempo, vocal style) but this is prompt-content advice, not tool-selection advice. No mention of when to prefer estimate_music_cost, or how this relates to generate_video/generate_image workflows; the async polling step is implied only by 'task ID'.

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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