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Pipeline.Export

pipeline.export
Read-onlyIdempotent

Export the pipeline as a standalone runnable Python bundle (zip saved locally).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoOptional name recorded inside the bundle.
train_graphYesPipeline graph {nodes, connections} to export.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true, and openWorldHint=true, covering the safety profile. The description adds that the output is a zip saved locally, which is useful behavioral context about the result format and side effect. It does not mention permissions or rate limits, so a 3 is appropriate.

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?

A single, front-loaded sentence that states the action and result with zero wasted words. It is appropriately sized for a simple export tool.

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?

An output schema exists, so return values need not be described. The schema fully documents parameters, and annotations cover safety. The description could be improved by adding usage context, but for a straightforward export tool it is largely complete.

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?

Schema description coverage is 100%, so the schema fully documents both parameters (name and train_graph). The description adds no additional meaning about parameter formats or constraints beyond what the schema provides. Baseline 3 applies when the schema does the heavy lifting.

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 states a specific verb (Export), resource (the pipeline), and output format (standalone runnable Python bundle, zip saved locally). It implicitly distinguishes from siblings like pipeline.validate by the export action, but does not explicitly name or contrast with them. A 4 reflects clear purpose without sibling differentiation.

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 on when to use this tool versus alternatives, nor any prerequisites or exclusions. The description only states what it does, leaving the agent to infer that it is used to obtain a bundle. This matches the 'no guidance' level.

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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