Skip to main content
Glama

manage_labels

List existing labels, create new ones with optional emoji, or delete labels by their IDs for a NotebookLM notebook.

Instructions

Manage a notebook’s source labels (RPC-backed): list them, create one, or delete some. action=list (default) / create (needs name) / delete (needs label_ids).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoLabel name (for create).
emojiNoOptional label emoji (for create).
actionNoDefault list.
label_idsNoLabel ids to delete (for delete).
notebook_idNoNotebook UUID (alternative to notebook_url).
notebook_urlNoNotebookLM notebook URL.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNoThe tool payload on success. The exact shape depends on the tool.
errorNoHuman-readable error message, present only when success is false.
successYesWhether the tool call succeeded.
Behavior3/5

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

No annotations are provided, so the description carries full burden. It mentions RPC-backed and the three modes, but lacks details on side effects, permissions, rate limits, or reversibility of actions.

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?

Two sentences with no redundancy. The purpose is front-loaded, and every word contributes meaning. Ideal conciseness.

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?

Given the output schema exists and parameters are well-documented, the description covers the main use cases. It lacks discussion of edge cases like duplicate names or empty label_ids, but overall is sufficient.

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

Parameters4/5

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

Schema coverage is 100%, but the description adds value by explaining how parameters relate to actions (e.g., name only for create). It goes beyond the schema by clarifying the default action and conditional requirements.

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 tool manages a notebook's source labels with three specific actions (list, create, delete). It distinguishes itself from sibling tools by focusing on labels, while other tools handle notebooks, notes, or sources.

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 provides clear context by specifying the default action and required parameters for each action (name for create, label_ids for delete). However, it does not explicitly state when to use this tool versus alternatives or when not to use it.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/roomi-fields/notebooklm-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server