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Robiton
by Robiton

batch

Perform batch operations across multiple notebooks: query, add sources, create, delete, or generate audio/video artifacts from selected or all notebooks.

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?

The description notes that delete is irreversible and requires confirm=True, but does not disclose behaviors for other actions (e.g., whether they are reversible, auth needs, or side effects). With no annotations provided, more behavioral detail would be beneficial.

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?

The description is reasonably concise with an introductory sentence and bullet-style list. It front-loads the purpose. Some redundancy could be trimmed (e.g., repeating action list in args), but overall well-structured.

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 complexity (9 parameters, batch operations), the description covers actions and parameters adequately. Since an output schema exists, return values need not be explained. However, it could mention atomicity, error handling, or confirmation behavior beyond delete.

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 coverage, the description explains each parameter's purpose and context (e.g., 'query: Question to ask (for action=query)'). It provides examples for artifact_type and clarifies notebook_names. However, the required 'action' parameter lacks a list of accepted values (though implied by actions list).

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 explicitly states it performs batch operations across multiple notebooks and lists specific actions (query, add_source, create, delete, studio). This clearly distinguishes it from sibling tools that operate on single notebooks.

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 lists available actions but does not provide guidance on when to use batch vs individual tools (e.g., batch delete vs notebook_delete). It lacks explicit when-to-use or when-not-to-use instructions.

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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