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Chryzalide

Gemini Notebook by Chryzalide (agy-gemini-notebook-plugin)

notebook_generate_artifact

Create Studio artifacts like reports, study guides, quizzes, flashcards, slide decks, mind maps, infographics, video, or audio from notebook sources to turn research material into ready-to-use outputs.

Instructions

Generate a NotebookLM Studio Artifact (report, study_guide, briefing_doc, blog_post, mind_map, quiz, flashcards, slide_deck, data_table, infographic, video, audio).

Input Schema

NameRequiredDescriptionDefault
waitNo
timeoutNo
source_idsNo
notebook_idNo
instructionsNo
artifact_typeYes
language_codeNoen
report_formatNobriefing_doc
workspace_dirNo

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.7/5.0
Behavior2/5

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

With no annotations provided, the description carries the full behavioral burden and largely drops it: it never says whether generation is synchronous or asynchronous, what `wait`/`timeout` do, whether artifacts persist to `workspace_dir`, or whether jobs can be polled later via notebook_status. It is not misleading, just silent on everything beyond the artifact name list.

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?

A single front-loaded sentence with the enumerated types in a parenthetical; no filler. Slightly dense with the long type list, but every element is informative.

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

Completeness2/5

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

For a 9-parameter generation tool with an output schema, the description omits the operational essentials: blocking vs. async behavior, source/notebook scoping, and where output lands. The presence of an output schema excuses return-value explanation, but not the missing invocation context.

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

Parameters2/5

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

Schema description coverage is 0% across 9 parameters, so the description must compensate and doesn't. It only implicitly enumerates the allowed `artifact_type` values (genuinely useful since the schema has no enum), while `source_ids`, `notebook_id`, `instructions`, `language_code`, `report_format`, and `workspace_dir` are left entirely undefined.

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?

The description gives a concrete verb and resource ('Generate a NotebookLM Studio Artifact') and enumerates the artifact types, so an agent knows exactly what comes out. It stops short of a 5 because it doesn't separate this from the sibling notebook_create_audio, which plausibly overlaps with the 'audio'/'video' types listed here.

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 statement of when to use this tool versus notebook_create_audio or notebook_research, no preconditions (e.g., that a notebook or sources must exist first), and no note about how `wait`/`timeout` change the calling pattern. The list of artifact types is the only context given.

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