NotebookLM MCP Server (Security Hardened)

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

Annotations indicate readOnlyHint=false (mutation), destructiveHint=false (non-destructive), and idempotentHint=true (safe to retry). The description adds valuable behavioral context beyond annotations by specifying a confirmation workflow ('After explicit confirmation, call this tool'), which is a critical safety measure for mutations. It doesn't contradict annotations, and the added context about user confirmation enhances transparency for a write operation.

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 clear pattern, examples, and a tip, all in a concise format. Each sentence serves a purpose: the first states the goal, the pattern outlines the workflow, examples illustrate usage, and the tip adds efficiency. It's front-loaded with key information, though slightly longer than minimal, it avoids waste and is easy to follow.

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 (8 parameters, mutation operation) and rich annotations (covering safety and idempotency), the description is largely complete. It adds crucial usage workflow and examples, compensating for the lack of output schema. However, it could mention error handling or response format, which is a minor gap in an otherwise comprehensive description for a mutation tool.

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 lists fields (topics, description, use_cases, tags, url) in step 1, but this merely repeats what's in the schema without adding deeper meaning or usage nuances. With high schema coverage, the baseline is 3, as the description doesn't significantly enhance parameter understanding beyond the structured data.

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's purpose as updating notebook metadata based on user intent, specifying the verb 'update' and resource 'notebook metadata'. It distinguishes from siblings like 'create_notebook' or 'remove_notebook' by focusing on updates rather than creation or deletion. However, it doesn't explicitly contrast with tools like 'get_notebook' or 'list_notebooks', which is why it's not a perfect 5.

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 with a three-step pattern: identify target and fields, propose change to user, and call after confirmation. It includes examples illustrating when to use the tool and mentions updating multiple fields if requested. This gives clear context on when and how to invoke the tool, with no misleading information.

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