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Acompanhar o Estúdio

notebook_estudio_status

Checks pending Studio items, waits for those still generating, downloads completed outputs, and repeats until nothing remains pending.

Instructions

Acompanha os itens do Estúdio que ainda estavam sendo gerados, espera o que der dentro do tempo da chamada e baixa o que ficar pronto. Repita até não sobrar nada pendente. Os arquivos vão SEMPRE para /app/%LOCALAPPDATA%\mcp-google/saidas/notebooklm neste PC.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
loteNoOpcional: lote, id do item ou id do notebook. Sem isso, cuida de todos os pendentes.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.16.1

TDQS

A3.7/5.0
Behavior4/5

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

Annotations only say readOnlyHint=false and openWorldHint=true; the description adds the important behaviors: the call blocks/watts for a bounded time, it writes files to disk, and it names the exact output path. The one gap is that it doesn't say what the call returns when nothing finishes in time.

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

Conciseness4/5

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

Three short sentences, front-loaded with the core action, then the repetition rule, then the side effect. The mixed path form '/app/%LOCALAPPDATA%\...' is slightly awkward but conveys the destination compactly.

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 one-optional-param polling tool with no output schema, the description covers the wait behavior, the repeat-until-done loop, and the file destination. Return-value semantics on timeout are the only missing piece an agent would want.

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% and the single optional 'lote' parameter is fully documented in the schema itself. The description never mentions 'lote' or the fallback-to-all-pending behavior, so it adds nothing beyond the schema — baseline 3.

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

Purpose4/5

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

States a specific verb+resource: it monitors pending Studio items, waits within the call's time budget, and downloads what finishes. That scope separates it from notebook_estudio_baixar and notebook_estudio without naming them explicitly, so an agent can infer the distinction but gets no confirmation.

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

Usage Guidelines3/5

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

'Repita até não sobrar nada pendente' gives a concrete polling loop, which is genuine usage guidance. However it never states when to prefer this over the sibling download/generate tools, nor what to do if the call times out with items still pending.

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