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download_artifacts

Downloads a NotebookLM briefing summary and saves it as a text file in your vault's .research_hub/artifacts directory.

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.

Input Schema

TableJSON 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

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior5/5

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

With no annotations provided, the description fully details the process: opening the notebook, extracting text, saving to a specific path, and updating cache. No contradictions.

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?

Three efficient sentences, front-loaded with the main action, no fluff. Every sentence adds necessary detail.

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

Completeness5/5

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

Covers all aspects: what it does, effect on files, parameter behavior, version constraints. Output schema exists for return values.

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?

Schema coverage is 100%, providing baseline 3. Description adds value by explaining artifact_type limitations ('Only brief supported in v0.9.0') and headless default usage.

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?

Description clearly states 'Download a generated NotebookLM briefing back to the vault.' with specific verb and resource, distinguishing it from sibling tools like notebooklm_generate and 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?

No explicit guidance on when to use this versus alternatives. Implied usage from context, but lacks clear exclusions or when-not-to-use instructions.

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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