Skip to main content
Glama

visualize_music

Turn an audio track into a music video by creating a Suno visualization task. Submit a source audio ID to generate visuals and receive a task ID, status, and output video URLs.

Instructions

Create a Suno task on RunAPI (visualize music). Returns a task id, status, and output URLs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
waitNoPoll until the task reaches a terminal status.
authorNoAuthor name shown in the video.
timeout_msNo
domain_nameNoDomain name watermark.
callback_urlNoWebhook URL for async notifications.
source_task_idNoRunAPI Task id that produced the audio. Required when the audio id alone does not identify the source.
source_audio_idYesAudio id within the source Task, or a RunAPI audio resource id returned by a previous request.
poll_interval_msNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.3.6

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It says the tool returns a task id, status, and output URLs, but does not explain whether the task runs synchronously, when polling or callbacks are needed, or how the wait and timeout parameters affect behavior.

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?

The description is one concise sentence with no filler, and it front-loads the core action and return values. It is appropriately short, though it sacrifices useful context for brevity.

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?

Given eight parameters, no output schema, and no annotations, the description is too thin. It omits the async workflow, the role of callback_url, the meaning of source_task_id, and when wait should be false. An agent would need to infer much of the calling convention from parameter names alone.

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 description coverage is high at 75%, so the schema already documents most parameters. The description adds minimal semantic value beyond framing the tool as a Suno task; it does not clarify relationships among source_audio_id, source_task_id, wait, and callback_url.

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 uses a specific verb and resource: 'Create a Suno task on RunAPI (visualize music).' This clearly identifies the operation and distinguishes it from siblings like text_to_music or remaster_audio, though it leaves some ambiguity about what 'visualize music' concretely produces.

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?

There is no guidance on when to use this tool versus alternatives, nor any mention of prerequisites such as requiring previously generated audio. The description simply states what the tool does without contextualizing it against the many sibling tools.

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