notebooklm_history
Histórico de Q&A da conversa do notebook.
Bulk support: accepts notebook_ids for batched execution.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| show_all | No | ||
| notebook_id | Yes | ||
| notebook_ids | No |
Histórico de Q&A da conversa do notebook.
Bulk support: accepts notebook_ids for batched execution.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| show_all | No | ||
| notebook_id | Yes | ||
| notebook_ids | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, so the safety profile is clear. The description adds the bulk execution behavioral trait, which is useful beyond the annotations.
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?
Two short, front-loaded sentences with no redundancy. Every word adds value.
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 4 parameters and no output schema, the description lacks details on return format, pagination, or error conditions. It mentions 'bulk support' but does not describe what the output looks like or how to interpret results.
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?
With 0% schema description coverage, the description should explain parameter meanings. It only mentions that notebook_ids enables batched execution, but does not clarify limit, show_all, or the required notebook_id. This is insufficient.
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 retrieves Q&A history of a notebook conversation, and mentions bulk support for multiple notebook IDs. This distinguishes it from sibling tools like notebooklm_ask (for asking questions) and notebooklm_list (for listing notebooks).
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 implies the tool is for retrieving history, but provides no explicit guidance on when to use it versus alternatives, nor when not to use it. Given the many sibling tools, some differentiation would be helpful.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Most tools have clearly distinct purposes (notebook vs source vs note vs artifact vs sharing). Minor overlap exists between notebooklm_ask and notebooklm_history (both Q&A-related) and between artifact generate/poll/retry, but descriptions help differentiate. Meta-tools like marketplace and authenticate are separate in function.
Core tools follow a consistent notebooklm_{resource}_{action} pattern. However, meta-tools (authenticate, connect, marketplace, report_bug, show_version, toolkit_info) lack the notebooklm_ prefix, breaking overall naming consistency. Within the core domain, naming is predictable.
43 tools is high but covers a broad domain: notebooks, sources, notes, artifacts (multiple types), sharing, Q&A, plus meta-tools. Some tools could be merged (e.g., share_add/remove/update/view_level), and meta-tools inflate count. Feels slightly heavy but not excessive for the feature set.
Covers full lifecycle for notebooks, sources, notes, artifacts (CRUD plus generate, download, poll, retry, suggestions). Sharing and Q&A have comprehensive operations. Minor gap: no tool to update notebook metadata beyond rename, but overall very complete.