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batch

Perform batch operations across multiple notebooks: query with the same question, add sources, create or delete notebooks, and generate studio artifacts.

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

Args: action: Operation to perform (query, add_source, create, delete, studio) query: Question to ask (for action=query) source_url: URL to add (for action=add_source) titles: Comma-separated notebook titles (for action=create) artifact_type: Artifact type (for action=studio): audio, video, report, etc. notebook_names: Comma-separated notebook names or IDs tags: Comma-separated tags to select notebooks all: Apply to ALL notebooks confirm: Must be True for delete action

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYes
queryNo
source_urlNo
titlesNo
artifact_typeNoaudio
notebook_namesNo
tagsNo
allNo
confirmNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations provided, so description must cover behavioral traits. It highlights irreversibility of delete and necessity of confirm=True, but does not disclose other side effects (e.g., partial failures, rate limits, or permission requirements). Adequate but incomplete.

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?

Description is front-loaded with purpose and action list, followed by parameter details. It is structured but could be slightly tighter (e.g., remove redundant phrasing). However, it is efficient and scannable.

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

Completeness3/5

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

Given the tool's complexity (9 parameters, multiple actions) and presence of an output schema, the description covers actions and parameter dependencies. However, it lacks details on error handling, partial failures, or atomicity, which are important for batch operations. The output schema may fill some gaps, but completeness is still moderate.

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?

With 0% schema description coverage, the description adds essential meaning: it maps parameters to actions (e.g., query for action=query, source_url for add_source) and specifies formats like 'Comma-separated notebook titles'. Some ambiguity remains (e.g., whether notebook_names accepts IDs or names), but overall significantly compensates for schema gaps.

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 'Perform batch operations across multiple notebooks' and enumerates specific actions (query, add_source, create, delete, studio). This distinguishes it from single-notebook operations like notebook_query or cross_notebook_query.

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?

The description provides context for when to use each action, e.g., query requires a 'query' parameter, delete requires 'confirm=True' and is irreversible. It lacks explicit when-not or alternatives, but the action listing implies appropriate usage scenarios.

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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