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batch

Perform operations across multiple notebooks: query, add sources, create, delete, or generate studio artifacts. Manage notebooks efficiently with a single action.

Instructions

Perform batch operations across multiple notebooks.

Actions:

  • query: Query multiple notebooks with the same question

  • add_source: Add the same source URL to multiple notebooks

  • create: Create multiple notebooks at once

  • delete: Delete multiple notebooks (IRREVERSIBLE, requires confirm=True)

  • studio: Generate studio artifacts across multiple notebooks

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYesOperation to perform (query, add_source, create, delete, studio)
queryNoQuestion to ask (for action=query)
source_urlNoURL to add (for action=add_source)
titlesNoComma-separated notebook titles (for action=create)
artifact_typeNoArtifact type (for action=studio): audio, video, report, etc.audio
notebook_namesNoComma-separated notebook names or IDs
tagsNoComma-separated tags to select notebooks
allNoApply to ALL notebooks
confirmNoMust be True for delete action

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

The description highlights that delete is irreversible and requires confirm=True, which is good. However, no annotations are provided, and the description does not disclose behavioral traits for other actions (e.g., whether query is read-only, or if create is idempotent). The description partially covers behavioral transparency.

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 very concise: one line plus a bullet list. It is front-loaded with the purpose and lists actions efficiently.

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?

Given the tool's complexity (multiple actions, 9 parameters) and the presence of an output schema, the description provides a good overview of actions but could include more details on parameter interactions or constraints. It is largely complete for an agent to understand usage.

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

Parameters3/5

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

Since the input schema has 100% description coverage, the description adds no additional parameter semantics beyond listing the actions. The schema already explains each parameter.

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 it performs batch operations across multiple notebooks, and lists all actions, distinguishing it from sibling tools that operate on single notebooks (e.g., notebook_delete, notebook_create).

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?

The description implies usage for batch operations but does not explicitly guide when to use this tool vs alternatives like cross_notebook_query for querying multiple notebooks. It lacks when-not-to-use guidance.

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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