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dlt-hub

dltHub-AI-workbench

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by dlt-hub

get_local_pipeline_state

Retrieve local pipeline state, including incremental cursors, resource state, and source state, to monitor data pipeline progress.

Instructions

Get pipeline state: incremental cursors, resource state, and source state.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pipeline_nameYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

With no annotations, the description must disclose behavioral traits. It reveals the returned state categories but does not mention whether the operation is read-only, requires permissions, or has side effects. The name implies read-only, but the description does not confirm safety or constraints.

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 a single focused sentence with no irrelevant words. It front-loads the purpose and key output details, achieving maximum conciseness.

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 tool's simplicity (1 param, output schema exists), the description adequately explains the output structure. It could be improved by noting error conditions or prerequisite checks, but it is sufficiently complete for basic usage.

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

Parameters1/5

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

The input schema has 1 parameter (pipeline_name, required) with 0% description coverage. The description adds no meaning or constraints to this parameter beyond its name, failing to compensate for the schema's lack of documentation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Get pipeline state') and specifies the content ('incremental cursors, resource state, and source state'), distinguishing it from sibling tools like 'list_pipelines' which list all pipelines. It is specific but does not explicitly differentiate from other getter tools.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives, prerequisites (e.g., pipeline existence), or when not to use it. This leaves the agent without context for selection.

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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