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Robiton
by Robiton

pipeline

Run or list multi-step pipelines on notebooks, automating tasks such as content ingestion and podcast generation.

Instructions

Manage and execute multi-step notebook pipelines.

Actions:

  • run: Execute a pipeline on a notebook

  • list: List all available pipelines (builtin and user-defined)

Args: action: Operation to perform (run, list) notebook_id: Target notebook UUID (required for action=run) pipeline_name: Pipeline name (required for action=run, e.g. "ingest-and-podcast") input_url: URL variable for pipelines that need it (replaces $INPUT_URL)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYes
notebook_idNo
pipeline_nameNo
input_urlNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations exist, so the description must disclose behavioral traits. It only describes parameters and actions, but does not mention side effects (e.g., modifications to notebooks), execution model (sync/async), or required permissions. This is insufficient for safe usage.

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 brief and well-structured with a short intro, bulleted actions, and bulleted args. Every sentence provides value without redundancy.

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 presence of an output schema and moderate complexity, the description covers the essential usage. It could mention that input_url is optional only for certain pipelines, but overall it is sufficiently complete.

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?

Schema coverage is 0%, so the description carries full weight. It explains each parameter, including conditional requirements (e.g., notebook_id required for action=run) and the substitution behavior of input_url. This adds meaning beyond the bare schema.

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 the tool manages and executes multi-step notebook pipelines, and lists two specific actions (run and list). This distinguishes it from sibling tools that deal with notebooks in other ways.

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 explains how to use the tool for two actions but does not provide guidance on when to choose this tool over alternatives like 'batch' or other notebook tools. Usage is implied but not explicitly contrasted.

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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