notebooklm-mcp

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

With no annotations provided, the description carries full burden. It clearly indicates this is a mutation tool ('update') requiring user confirmation, which addresses safety concerns. However, it doesn't disclose permission requirements, whether changes are reversible, rate limits, or what happens to unspecified fields. The confirmation workflow is helpful but doesn't cover all behavioral aspects.

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 clear sections (purpose, pattern, examples, tip) and front-loads the core purpose. Each sentence adds value, though the pattern section could be more concise. The examples are helpful but slightly verbose. Overall efficient with minimal waste.

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 mutation tool with 8 parameters, 100% schema coverage, and no output schema, the description provides good context through the confirmation workflow and examples. It covers the 'how' and 'when' effectively. However, it lacks information about error cases, response format, or what happens when only partial fields are provided, which would be helpful given the tool's complexity.

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 description coverage is 100%, so the schema already documents all 8 parameters thoroughly. The description mentions specific fields (topics, description, use_cases, tags, url) but doesn't add meaningful semantics beyond what the schema provides. The baseline of 3 is appropriate when the schema does the heavy lifting, though the description could have explained relationships between fields.

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 updates notebook metadata, specifying the verb 'update' and resource 'notebook metadata'. It distinguishes from siblings like 'add_notebook' (creation) and 'remove_notebook' (deletion) by focusing on modification of existing notebooks. However, it doesn't explicitly contrast with 'get_notebook' or 'list_notebooks' which are read operations.

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 provides explicit usage guidelines through a 3-step pattern requiring user confirmation, with concrete examples showing when to use it. It implicitly distinguishes from 'add_notebook' (for creation) and 'remove_notebook' (for deletion) by focusing on updates to existing notebooks. The tip about updating multiple fields at once adds further guidance.

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