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suno_get_status

Check current Suno AI session status including browser activity, page state, and session persistence to monitor music generation workflows.

Instructions

Get current Suno AI session status (browser, page, session persistence).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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 mentions what is retrieved (browser, page, session persistence), which gives some context about the tool's behavior. However, it lacks details on potential side effects, error conditions, or response format specifics that would be helpful for an agent. The description is adequate but misses deeper behavioral traits like performance or reliability hints.

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?

The description is a single, efficient sentence that front-loads the key action ('Get current Suno AI session status') and adds clarifying details in parentheses. Every word earns its place by specifying what status entails without redundancy. It is appropriately sized for a no-parameter tool and avoids any fluff or verbose explanations.

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?

Given the tool's low complexity (0 parameters, no annotations, but has an output schema), the description is complete enough for basic understanding. It explains what the tool does and what it returns (session status details). Since an output schema exists, the description doesn't need to detail return values, making it sufficient. However, it could improve by hinting at why this status is useful in the context of sibling tools.

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 tool has 0 parameters, and schema description coverage is 100%, meaning there are no parameters to document. The description does not need to compensate for any gaps, as there is nothing to explain beyond the schema. A baseline of 4 is appropriate since no parameter information is required, and the description focuses on the tool's purpose without unnecessary details.

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 as 'Get current Suno AI session status' with specific details about what status is retrieved (browser, page, session persistence). It distinguishes from siblings like suno_login or suno_generate_track by focusing on status retrieval rather than authentication or content creation. However, it doesn't explicitly differentiate from suno_track_info which might also provide status-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 Guidelines3/5

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

The description implies usage context by specifying 'current Suno AI session status,' suggesting it should be used to check session health or persistence. However, it provides no explicit guidance on when to use this tool versus alternatives like suno_login for authentication issues or suno_open_browser for browser-related actions. The usage is inferred but not clearly articulated with exclusions or comparisons to siblings.

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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