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earlyprototype

notebooklm-py-diet-mcp

export_artifact

Export an artifact from a notebook to a file in your chosen format (PDF, CSV, JSON, etc.) by specifying the output path.

Instructions

Export an artifact to a file in the requested format.

Uses the appropriate export method based on the artifact type.

Args: notebook_id: ID of the notebook artifact_id: ID of the artifact to export output_path: Path where to save the exported file export_format: Desired format (pdf, csv, json, etc.). Leave empty for default.

Returns: Dictionary with export status

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
artifact_idYes
notebook_idYes
output_pathYes
export_formatNo
Behavior3/5

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

No annotations are provided, so the description carries the burden. It mentions behavioral adaptation ('Uses the appropriate export method based on the artifact type') and default format handling, but lacks depth on permissions, side effects, or error conditions.

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 concise with a clear first sentence, bullet-pointed Args, and Returns section. Every sentence is informative and efficient.

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 4-parameter tool with no annotations or output schema, the description covers purpose, parameters, and return type. It lacks mention of file overwrite behavior or async nature, but is largely complete.

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

Parameters5/5

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

Schema description coverage is 0%, but the description fully explains each parameter (notebook_id, artifact_id, output_path, export_format) with clear purpose and examples (pdf, csv, json). This adds significant meaning 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 'Export an artifact to a file in the requested format.' It uses specific verb+resource and distinguishes from siblings like list_notebooks or create_notebook.

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

Usage Guidelines4/5

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

It explains that the tool uses the appropriate export method based on artifact type, providing clear context. However, it does not explicitly exclude alternatives or specify when not to use it.

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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