delete_notebooks_from_nblm

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

No annotations exist, but the description discloses irreversibility, UI-level deletion, return format with partial failures, authentication requirement, and headless browser default. This fully compensates for the lack of annotations.

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 sections for purpose, return, use cases, and notes. It is slightly lengthy but every sentence contributes; could be slightly more concise but remains effective.

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 complexity of a delete operation with two parameters and no output schema, the description covers prerequisites, return shape, behavior (headless), and warnings, making it complete for correct invocation.

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%, baseline 3. Description adds extra meaning: notebook_ids come from list_notebooks_from_nblm and are UUIDs; show_browser default false means headless. This provides helpful context beyond the schema.

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 'Delete one or more notebooks directly from NotebookLM (UI-level deletion, not just from the local library)', specifying the verb, resource, and distinguishing from local removal.

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 lists specific use cases (bulk cleanup, free quota, remove obsolete notebooks) and includes warnings about irreversibility and authentication. It does not explicitly differentiate from the sibling tool 'remove_notebook', but provides sufficient context.

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