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deploy_pipeline

Deploy a pipeline to production with optional version selection; returns validation results or error messages.

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. :param version_id: Optional ID of the pipeline version to deploy. If None, deploys the latest non-draft version.

: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
version_idNo
pipeline_nameYes
Behavior3/5

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

No annotations provided, so description carries full burden. It discloses return behavior (validation result on failure, stored object ID) and how to use the object ID. However, it does not mention destructive actions, auth requirements, or side effects of deployment.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description includes docstring-style parameter and return sections, making it somewhat lengthy (6 sentences). Information is front-loaded, but could be more concise.

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 no annotations, 0% schema coverage, and no output schema, the description provides parameter meanings, return value with object ID usage, and partial behavioral context. It lacks prerequisites (e.g., pipeline existence, permissions) but is fairly complete for deployment.

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

Parameters5/5

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

Schema description coverage is 0%, but the description fully explains both parameters: pipeline_name is the name of the pipeline, version_id is optional and defaults to latest non-draft version. This adds significant meaning beyond the schema.

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,' which identifies the specific action and resource. It is distinct from sibling tools like 'create_pipeline' (which creates) and 'validate_pipeline' (which only validates).

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 does not provide guidance on when to use this tool versus alternatives (e.g., deploy_index, validate_pipeline). It only explains behavior on failure but no context for appropriate use.

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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