save_auth_tokens

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

No annotations are provided, so the description must carry the full burden. It explains the fallback nature but does not describe the tool's behavior (e.g., whether it overwrites existing tokens, side effects, or required permissions). The description is adequate but not detailed.

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 very concise: one sentence for the main purpose plus a structured bullet list for AI assistants. Every sentence adds essential information without redundancy.

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 tool's complexity (fallback authentication) and that an output schema exists, the description covers the key aspects: fallback nature, precedence, and parameter semantics. It is reasonably complete for an AI agent to use correctly.

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%, so parameters are already documented. The description adds value by indicating which parameters are only needed when CLI fails, marking csrf_token and session_id as deprecated/auto-extracted, and clarifying optional usage for request_body and request_url.

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 the tool saves NotebookLM cookies as a fallback method, with a specific verb ('save') and resource ('auth tokens'). It distinguishes from the preferred CLI method by labeling itself as 'FALLBACK method'.

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?

Explicitly instructs to first try 'nlm login' via Bash/terminal and only use this tool if the automated CLI fails. This provides clear when-to-use and when-not-to-use guidance.

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