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studio_status

Check content generation status and retrieve URLs for NotebookLM studio outputs by providing a notebook UUID.

Instructions

Check studio content generation status and get URLs.

Args: notebook_id: Notebook UUID

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
notebook_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

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 mentions checking status and getting URLs, but doesn't describe what the status values mean, whether it's a read-only operation, potential errors, rate limits, or authentication needs. For a tool with no annotations, this leaves significant gaps in understanding its 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 appropriately concise with two sentences: one for the main purpose and one for the parameter. It's front-loaded with the key action. However, the Args section could be integrated more smoothly, and there's minor room for improvement in flow.

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 has an output schema (which likely covers return values), the description doesn't need to explain outputs. However, with no annotations, 0% schema description coverage, and a mutation-heavy sibling set (e.g., 'studio_delete'), it should provide more context on safety, usage timing, and error handling to be fully complete.

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?

The description adds minimal parameter semantics: it notes 'notebook_id: Notebook UUID' in the Args section, which clarifies the parameter's purpose beyond the schema's type information. However, with 0% schema description coverage and only 1 parameter, this provides basic but incomplete context (e.g., no details on UUID format or where to obtain it).

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: 'Check studio content generation status and get URLs.' It specifies the verb ('Check'), resource ('studio content generation status'), and outcome ('get URLs'). However, it doesn't explicitly differentiate from sibling tools like 'research_status' or 'studio_delete', which would be needed for a perfect score.

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 prerequisites (e.g., needing a notebook_id from a previous operation), exclusions, or comparisons to similar tools like 'research_status'. The context is implied but not explicit.

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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