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generate_video_overview

Creates a video overview from a NotebookLM notebook by using its sources to generate an explanatory video summary.

Instructions

Gera um Resumo em Vídeo no NotebookLM.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
notebook_idYes
instructionsNoCrie um vídeo explicativo sobre as fontes.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

D1.7/5.0
Behavior1/5

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

No annotations are provided, so the description carries the full behavioral burden, and it discloses nothing. Video generation is presumably long-running and expensive; the description says nothing about async behavior, expected duration, quota/cost implications, or how the resulting video is retrieved.

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

Conciseness3/5

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

A single short sentence with no bloat and the action front-loaded, so it is structurally clean. It earns no more than a middling score because brevity here comes at the cost of under-specification rather than efficient information density.

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

Completeness1/5

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

For a no-annotation, no-output-schema generative tool with 2 undocumented parameters and 13 siblings, this description is drastically incomplete. Nothing tells the agent the cost, latency, or output characteristics of the operation, nor how it differs from the other generate_* tools.

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

Parameters1/5

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

Schema description coverage is 0% for both parameters. The description does not mention notebook_id (required) or instructions (with its default prompt), leaving an agent with no documented meaning, format, or constraints for either parameter.

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

Purpose2/5

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

The description 'Gera um Resumo em Vídeo no NotebookLM' is essentially a Portuguese restatement of the tool name generate_video_overview. It adds only the platform name, not the scope, output format, or what distinguishes it from generate_audio_overview or generate_slide_deck.

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 when-to-use guidance, no prerequisites, and no mention of the numerous sibling generation tools (audio overview, slide deck, infographic, mind map). The agent must infer entirely from the name which generation mode to pick.

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