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Chryzalide

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

notebook_create_audio

Generates an Audio Overview podcast from a Gemini Notebook, letting you set episode focus, length, format, language, and source selection.

Instructions

Generate an Audio Overview podcast on the notebook via GCP v1alpha REST or RPC bridge.

Input Schema

NameRequiredDescriptionDefault
waitNo
engineNoauto
source_idsNo
notebook_idNo
audio_formatNo
audio_lengthNo
episode_focusNo
language_codeNoen
workspace_dirNo

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.4/5.0
Behavior2/5

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

With no annotations, the description carries the full behavioral burden, yet it only names a transport ('GCP v1alpha REST or RPC bridge'), which is implementation detail rather than agent-relevant behavior. It does not say whether generation is synchronous or long-running (despite a `wait` parameter), what permissions are needed, or what happens to existing audio overviews.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The single sentence is front-loaded and wastes no words, which is good structurally. However, given a 9-parameter tool with zero schema coverage, this level of brevity is under-specification rather than genuine conciseness.

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

Completeness1/5

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 no annotations and 0% schema description coverage, the description omits nearly everything an agent needs: parameter meanings, async behavior, engine selection, and output timing. The existence of an output schema only relieves the need to describe return values, not inputs.

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

Parameters1/5

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

All 9 parameters have 0% schema description coverage, and the description mentions none of them. Critical fields like `engine`, `audio_length`, `audio_format`, `episode_focus`, and `source_ids` are left completely unexplained, so the agent has no basis for setting them correctly.

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 states a specific verb and resource: 'Generate an Audio Overview podcast on the notebook,' which tells an agent this produces audio content rather than notes or research. It does not explicitly distinguish itself from the sibling notebook_generate_artifact, which could plausibly overlap.

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 guidance on when to use this versus notebook_generate_artifact or other generation tools, and no prerequisites or exclusions are mentioned. The agent must infer usage entirely from the name.

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