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sktime

sktime-mcp

Official
by sktime

export_code

Export any saved estimator or pipeline as executable Python code. Provide a handle ID and optional variable name to generate runnable code with fit example.

Instructions

Export an estimator or pipeline as executable Python code

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
handleYesHandle ID of the estimator/pipeline to export
datasetNoOptional dataset name for the fit example (e.g. 'airline', 'sunspots'). Defaults to 'airline' if omitted.
var_nameNoVariable name to use in generated code (default: 'model')model
include_fit_exampleNoWhether to include a fit/predict example (default: false)
Behavior2/5

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

No annotations are provided, so the description must carry the full burden. It does not disclose whether the operation is read-only, modifies state, has side effects, or requires specific permissions. The minimal description leaves important behavioral unknowns.

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 sentence that efficiently conveys the core purpose. No redundant words or content.

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

Completeness2/5

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

Given the lack of output schema, the description should clarify what the tool returns (e.g., code as text or a file). It does not mention output format or behavior, leaving the agent without crucial information for correct invocation.

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 input schema has 100% coverage with descriptions for all 4 parameters. The description adds no extra parameter context beyond what the schema already provides. Baseline score 3 is appropriate as the schema already 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 clearly states the verb 'Export' and the resource 'estimator or pipeline', and the output type 'executable Python code'. It is distinct from sibling tools, though it could be more specific about the export format.

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 such as save_model or describe_component. No context about prerequisites or use cases is given.

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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