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sanjeev7e

notebooklm-mcp-rpc

by sanjeev7e

Get raw notebook payload

notebook_raw
Read-only

Retrieve the raw GET_NOTEBOOK response to debug missing fields in parsed notebook data.

Instructions

Return the raw GET_NOTEBOOK response (useful for debugging when the parsed shape is missing a field you need).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
notebookYesNotebook UUID.
Behavior4/5

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

Annotations already declare readOnlyHint=true. The description adds that it returns the unparsed API response, which is a key behavioral insight beyond annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single sentence that is perfectly concise and front-loaded with the core action and purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple one-parameter tool with no output schema, the description sufficiently explains purpose and use case. Could briefly mention that the response is JSON.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with description 'Notebook UUID.' The tool description adds no further parameter details, meeting the baseline for full schema coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'Return' and the resource 'raw GET_NOTEBOOK response', and adds explicit use case ('debugging when parsed shape is missing a field'), distinguishing it from sibling notebook tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description specifies when to use (debugging missing fields), implying the standard parsed version is the default. It lacks explicit exclusion but provides clear context.

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

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