Skip to main content
Glama

chat_get

Retrieve the full transcript of a chat session from a NotebookLM notebook. Specify the notebook and optionally a conversation ID to get the transcript.

Instructions

Get full transcript of a specific chat session.

Args: notebook_id: Notebook ID or title alias conversation_id: Optional conversation ID (defaults to latest active session)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
notebook_idYes
conversation_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

Without annotations, the description should disclose behavioral traits. It explains that conversation_id defaults to the latest active session, but does not mention error handling, rate limits, or side effects. The read-only nature is inferred but not explicit.

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?

The description is extremely concise with three lines, front-loading the purpose. Every word adds value, with no redundant or vague statements.

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 read tool with 2 parameters and an output schema (which documents return values), the description covers the core usage and default behavior. It lacks details on error scenarios (e.g., invalid notebook_id), but the existing information is sufficient for typical use.

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

Parameters5/5

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

The input schema has 0% description coverage, but the description fully compensates by explaining both parameters: notebook_id as 'Notebook ID or title alias' and conversation_id as 'Optional conversation ID (defaults to latest active session)'. This adds critical meaning beyond the schema's type-only definitions.

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 'Get full transcript of a specific chat session,' providing a specific verb and resource. It distinguishes itself from sibling tools like 'chat_list' (lists sessions) and 'chat_export' (exports transcripts), so the purpose is unambiguous.

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

Usage Guidelines2/5

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

No guidance is given on when to use this tool versus alternatives. The description does not mention prerequisites, exclusions, or comparisons with similar tools like 'chat_list' or 'chat_export', leaving the AI agent to infer usage context.

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/jacob-bd/gemini-notebook-mcp-cli'

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