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deploy_pipeline

Deploy a pipeline to production, receiving validation results or error messages to resolve deployment issues.

Instructions

Deploys a pipeline to production.

This function attempts to deploy the specified pipeline in the given workspace. If the deployment fails due to validation errors, it returns a validation result. :param pipeline_name: Name of the pipeline to deploy.

:returns: Deployment validation result 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
Behavior3/5

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

Explains deployment attempt and failure returns validation result; mentions object ID and storage. However, lacks details on side effects, permissions, or irreversibility, especially since no annotations are provided.

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?

Front-loaded with core purpose, relatively concise, though includes some redundant information about object store integration.

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?

Covers deployment behavior and output format, but lacks context on workspace, prerequisites, and differentiation from siblings, given the tool's simple interface and no output schema.

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 'Name of the pipeline to deploy' for the pipeline_name parameter, but this is basic and schema coverage is 0%; the description compensates minimally.

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 'Deploys a pipeline to production', with a specific verb and resource, distinguishing it from siblings like create_pipeline or validate_pipeline.

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 explicit guidance on when to use this tool versus alternatives like validate_pipeline or deploy_index; only implies usage through the deployment attempt and validation error handling.

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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