studio_create

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

No annotations are provided, so the description carries full burden. It explains the confirm parameter and mentions user approval, implying necessary interactivity. However, it does not disclose potential side effects (e.g., overwriting artifacts) or rate limits. The behavioral impact remains somewhat opaque.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with a summary, detailed bullet points, and examples. It is appropriately sized for 22 parameters, though some redundancies (e.g., repeating artifact types in the args list) could be trimmed.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the presence of an output schema, the description does not need to explain return values. It thoroughly covers parameter semantics and usage patterns. Missing confirmation on whether creation is asynchronous or what happens on failure is a minor gap.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description fully compensates by detailing each parameter, including type-specific options and defaults. It groups parameters by artifact type and explains their purpose, exceeding mere schema information.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it is a 'unified creation tool' for all NotebookLM studio artifacts, listing nine types. It distinguishes itself from siblings like podcast_create (which is audio-only) and studio_revise (modification), making its purpose explicit.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

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

The description indicates it is the primary creation tool and provides an example with confirm=True. However, it does not explicitly state when to avoid this tool in favor of alternatives like podcast_create or when not to use it (e.g., for revision), leaving implicit guidance.

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