notebooklm_create_notebook

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

With no annotations, the description carries the full disclosure burden: it correctly signals a mutation ('Crea') and helpfully states the returned values (URL and notebook_id). However, it says nothing about authentication requirements, whether the notebook is created in a personal or shared account, or whether the operation is idempotent on repeated titles.

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?

One sentence, front-loaded with the action, and the return values appended without filler. Nothing extraneous and no repetition of the schema.

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?

For a one-parameter creation tool with no output schema, stating the returned URL and notebook_id is a meaningful addition. It falls short only on operational context (auth, account scope) that an agent would otherwise need to infer.

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?

Schema coverage is 100% and the single 'title' parameter is documented in the schema itself. The description confirms a title is needed implicitly but adds no constraints (length, uniqueness, default naming), so it matches the baseline 3 for well-covered schemas.

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 states a specific verb and resource ('Crea un nuevo cuaderno de investigación jurídica en Google NotebookLM') and even names the return artifacts. It clearly differs from siblings like notebooklm_list_notebooks, notebooklm_add_source, and notebooklm_query, which operate on existing notebooks.

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?

There is no guidance on when to create a notebook versus reusing an existing one (e.g., after calling notebooklm_list_notebooks), nor any prerequisite or exclusion. Usage must be inferred entirely from the tool name.

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