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suno_track_info

Retrieve detailed information about Suno AI music tracks using their unique track identifiers.

Instructions

Get detailed information about a specific Suno AI track.

Args:
    track_id: The unique track identifier

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
track_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only states what the tool does ('Get detailed information') without mentioning permissions, rate limits, response format, or error handling. This is a significant gap for a tool with no annotation coverage, as it lacks crucial operational details.

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 appropriately sized and front-loaded, with the main purpose stated first followed by parameter details. Both sentences earn their place, and there's no unnecessary verbosity, making it efficient for quick understanding.

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?

Given the tool's low complexity (1 parameter) and the presence of an output schema (which handles return values), the description is minimally adequate. However, with no annotations and incomplete behavioral transparency, it lacks depth for a tool that might involve network calls or authentication, leaving gaps in overall completeness.

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?

The description adds meaningful context for the single parameter: 'track_id: The unique track identifier.' Since schema description coverage is 0% (the schema only provides a title 'Track Id' and type 'string'), this compensates well by explaining what the parameter represents, though it doesn't specify format or constraints.

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 clearly states the tool's purpose: 'Get detailed information about a specific Suno AI track.' It specifies the verb ('Get') and resource ('Suno AI track'), making the function unambiguous. However, it doesn't explicitly differentiate from sibling tools like 'suno_get_status' or 'suno_library_list', which might also provide track-related information.

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 provides no guidance on when to use this tool versus alternatives. It doesn't mention sibling tools like 'suno_get_status' (which might provide status updates) or 'suno_library_list' (which might list tracks), leaving the agent to infer usage context without explicit direction.

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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