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Run a pipeline across many data sources (batch)

run_pipeline_batch

Run a single pipeline config against multiple data sources (paths or glob patterns) with independent processing and per-source error isolation, returning results and summary.

Instructions

Run one pipeline configuration against many data sources -- explicit paths or glob patterns like 'logs/*'. Each source is processed independently; a failure on one source is reported but does not stop the batch. Returns per-source results and a summary. For an event reduction, preview a representative source first.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathsYes
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?

The description adds meaningful behavior beyond annotations: sources are processed independently, a failure on one source is reported but does not stop the batch, and results include per-source output plus a summary. It does not detail side effects, but annotations already provide the main read/write/destructive hints and the output schema is present.

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?

Four short, purposeful sentences cover the main action, input style, failure behavior, and preview guidance. There is no filler or redundant repetition of schema/annotations, and important details are front-loaded.

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 output schema and annotations already cover return shape and safety hints, the description covers the essential usage context: one config, many paths, isolation of failures, batch summary, and a preview example. The main gap is that the config parameter remains opaque, but this is a single toolbox-dependent object rather than a fully documented structure.

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?

The description adds real meaning to 'paths' via explicit paths or glob patterns like 'logs/*', which the schema does not provide. However, the 'config' parameter is only described as 'one pipeline configuration' with no indication of its fields, expected structure, or constraints, and the schema has 0% description coverage.

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 opens with a specific action: 'Run one pipeline configuration against many data sources.' It further clarifies scope with 'explicit paths or glob patterns like logs/*', which distinguishes it from the sibling single-source tool run_pipeline.

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 clearly implies batch usage over many data sources and that sources are independent. It also gives a practical alternative/precondition: 'For an event reduction, preview a representative source first,' suggesting preview_pipeline. It does not explicitly say when to choose run_pipeline over run_pipeline_batch for a single source, but the distinction is strongly implied.

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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