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get_pipeline

Retrieves detailed configuration information for a pipeline by its name. Use the returned object ID to inspect properties or pass to other functions.

Instructions

Fetches detailed configuration information for a specific pipeline, identified by its unique pipeline_name. :param pipeline_name: The name of the pipeline to fetch. :returns: Pipeline details or error message.

The output is automatically stored and can be referenced in other functions. Returns a formatted preview with an object ID (e.g., @obj_123). Use the object store tools in combination with the object ID to view nested properties of the object. Use the returned object ID to pass this result to other functions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pipeline_nameYes
Behavior4/5

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

Despite no annotations, the description discloses that the output is automatically stored, returns a formatted preview with an object ID, and explains how to use the object ID for nested properties or passing to other functions. This adds significant behavioral context beyond a simple read operation.

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 mostly concise with the purpose front-loaded. It could integrate the param doc more naturally, but it remains focused and informative without unnecessary words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a single-parameter fetch tool with no output schema, the description covers the purpose, parameter, output format, and how to leverage the object ID. It is complete enough for an agent to use correctly.

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 includes a param doc for pipeline_name, adding meaning beyond the schema's title alone. However, with 0% schema coverage, more detail could be provided, such as valid naming conventions or examples.

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 it fetches detailed configuration information for a specific pipeline, using a unique pipeline_name. It distinguishes from sibling tools like list_pipelines and search_pipeline by focusing on a single pipeline's details.

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?

The description provides no guidance on when to use this tool versus alternatives, nor any conditions or prerequisites. It does not mention exclusions or when not to use it.

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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