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rubayatkhan

mcp-research-pipeline

by rubayatkhan

generate_artifact

Generate NotebookLM artifacts like quizzes, flashcards, reports, and slide decks from notebook sources to turn research into usable study materials.

Instructions

Generate a NotebookLM artifact from notebook sources.

Supported artifact types: audio, video, quiz, flashcards, report, mind_map, infographic, slide_deck, data_table.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
waitNoIf true, wait for generation to complete (can take minutes).
source_idsNoOptional list of source IDs to use (default: all sources).
notebook_idYesID of the notebook with sources.
instructionsNoOptional instructions to guide generation.
artifact_typeYesType of artifact to generate.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only says 'Generate' and lists artifact types; it does not disclose that generation can take minutes, that failures may occur, or that the operation may be asynchronous depending on wait.

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 two short sentences with no filler. The core action is front-loaded, and the supported artifact types are presented in a compact, scannable list.

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?

With a fully documented input schema and an available output schema, the description is nearly complete for invoking generation. The only notable gap is guidance about asynchronous behavior and status-checking, which is partially covered by the wait parameter description.

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 description coverage is 100%, so the baseline is 3. The description adds meaningful value by enumerating valid artifact_type values (audio, video, quiz, flashcards, report, mind_map, infographic, slide_deck, data_table), which the schema does not provide.

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 states a specific verb and resource ('Generate a NotebookLM artifact from notebook sources') and enumerates the supported artifact types, making the tool's scope immediately clear. The action 'generate' also distinguishes it from management siblings like list_artifacts, check_artifact_status, and download_artifact.

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?

There is no explicit guidance about when to use this tool versus alternatives. It does not mention that generation may be asynchronous, that wait can be used for blocking, or that check_artifact_status/list_artifacts are relevant follow-up tools.

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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