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Run a pipeline

run_pipeline

Build and run a data pipeline from a configuration, returning artifact paths it produces. For event-driven reductions, audit with a preview first.

Instructions

Build and run a pipeline from a configuration and return the artifact paths it produced. Prefer running preview_pipeline first for event-driven reductions so the effect is audited before anything is written.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
configYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Install Server

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already indicate readOnlyHint=false, destructiveHint=false, idempotentHint=false. The description adds that it produces artifact paths, implying write operations, which is useful beyond annotations. However, it doesn't disclose other side effects, rate limits, or error behaviors, so it's not exhaustive but adds some value.

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 two sentences, front-loaded with the core purpose, and the second sentence provides concise actionable guidance. Every word contributes without fluff.

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?

There is an output schema (not shown) and a single config param, but the description doesn't explain what constitutes a valid config, prerequisites, or error handling. It mentions artifact paths but not other return details (covered by output schema). For a complex pipeline execution tool, the description leaves ambiguity around configuration structure and side effects.

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

Parameters2/5

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

The only parameter 'config' is an untyped object with additionalProperties true and zero description in the schema (0% coverage). The description merely says 'from a configuration' without detailing required fields, structure, or examples, failing to compensate for the lack of schema documentation.

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 builds and runs a pipeline from a configuration and returns produced artifact paths. This is a specific verb+resource+outcome, and it distinguishes itself from preview_pipeline by explicitly advising to use preview first.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives explicit guidance: prefer preview_pipeline first for event-driven reductions to audit effects before writes. This clearly situates run_pipeline as the execution step after preview, providing direct usage direction and an alternative.

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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