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add_instrumental

Add instrumental backing to vocal audio via Suno. Provide a vocal URL and optionally set style tags, model version, and tags to generate the accompaniment.

Instructions

Add instrumental backing to uploaded vocal audio via Suno.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagsNoStyle tags for the instrumental
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
titleNo
filenameNo
uploadUrlYesURL of vocal audio
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.
negativeTagsNo
max_wait_secondsNoOverride the blocking-mode polling budget in seconds (default: audio 300). Ignored when wait=false.
Behavior2/5

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

With no annotations provided, the description must fully disclose behavioral traits. It only states the action ('Add instrumental backing') without clarifying whether it modifies existing files, requires authentication, has rate limits, or what happens to intermediate files. The text does not address destructive potential or side effects.

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 very concise (8 words) and front-loaded with the core action. It efficiently conveys the purpose without extraneous information. However, it could be slightly expanded to include key behavioral notes without losing conciseness, hence a 4 rather than 5.

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 no output schema and 9 parameters, the description is inadequate. There is no mention of return values, error handling, or what happens after submission (e.g., task_id, polling). The description does not explain the 'wait' parameter's important distinction between sync and async modes, which is critical for 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 description coverage is 56%, meaning the schema provides partial descriptions. The tool description does not add any explanation beyond what is already in the schema. For instance, 'tags', 'wait', and 'model' are described in the schema but the tool description offers no further semantics. Baseline score of 3 is appropriate as the description does not compensate for the missing parameter descriptions.

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?

The description uses a specific verb 'Add' and resource 'instrumental backing' along with the context 'to uploaded vocal audio via Suno'. It clearly distinguishes the tool from sibling tools like 'add_vocals' or 'cover_audio' by specifying the input (vocal audio) and output (instrumental backing).

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?

The description lacks any guidance on when to use this tool versus alternatives. It does not mention prerequisites, constraints, or scenarios where other tools (e.g., 'generate_music' or 'cover_audio') would be more appropriate. No exclusions or context are provided.

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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