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research-hub

research-hub

by WenyuChiou
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

download_artifacts

Downloads a NotebookLM briefing from the cluster's notebook and saves it to the vault, updating the cache.

Instructions

Download a generated NotebookLM briefing back to the vault.

Opens the cluster's NotebookLM notebook using the saved local session, extracts the latest briefing summary text, and saves it under <vault>/.research_hub/artifacts/<cluster_slug>/brief-<UTC>.txt. The cluster's nlm_cache.json entry is updated with the new path.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "cluster_slug": "<cluster_slug>"
    },
    "name": "download_artifacts"
  }
}

Input Schema

NameRequiredDescriptionDefault
cluster_slugYesThe cluster identifier.
artifact_typeNoOnly "brief" is supported in v0.9.0; audio, mind-map, and video downloads land in v0.9.1.brief
headlessNoIf True (default), drive Chrome headlessly so this tool can run inside an MCP server with no display.

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations, the description carries full behavioral disclosure. It details the process (opens notebook, extracts briefing, saves to specific path, updates cache). However, it omits error handling or prerequisites like having a saved session.

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 very concise (4 sentences) and front-loaded with the main action. Every sentence adds necessary detail without redundancy.

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, the description need not explain return values. It covers the process, file naming, and cache update. Minor gap: no mention of prerequisites like having a local session or existing briefing.

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?

All three parameters are described in the schema (100% coverage). The description adds value by explaining the artifact_type limitation ('only brief in v0.9.0') and headless use case (MCP server without display), going beyond the schema.

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's action (download), resource (NotebookLM briefing), and destination (vault). It uses a specific verb and resource, distinguishing it from siblings like notebooklm_generate or notebooklm_upload.

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?

The description implies usage context (generated briefing, local session) but lacks explicit when-to-use or when-not-to-use guidance. It does not mention alternatives or exclusions, relying on the sibling list for differentiation.

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

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