Skip to main content
Glama
sktime

sktime-mcp

Official
by sktime

instantiate_estimator

Creates an sktime estimator or pipeline from a craft specification string, enabling dynamic instantiation of models like ARIMA or composite pipelines.

Instructions

Create an estimator or pipeline instance using a sktime craft specification. The spec is a string that evaluates to an estimator, e.g., 'ARIMA(order=(1, 1, 1))' or 'Detrender() * ARIMA()'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
specYesCraft specification string.
Behavior2/5

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

No annotations provided, so the description must fully disclose behavior. It fails to mention side effects, safety (read-only vs destructive), or return value. The operation appears to create an instance without persistent storage, but this is not stated.

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?

Two concise sentences with no wasted words. The description is front-loaded with the purpose and provides an example, making it efficient.

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?

For a simple tool with one parameter and no output schema, the description covers the core functionality. However, it lacks details on validation, error handling, and the nature of the returned instance (e.g., in-memory handle). Minor gaps reduce completeness.

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

Parameters4/5

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

The schema covers the only parameter at 100%, providing a baseline of 3. The description adds value by explaining the spec string evaluates to an estimator and giving examples, which aids understanding beyond the bare schema description.

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 the tool creates an estimator or pipeline instance from a sktime craft specification, with concrete examples. It is distinct from siblings like 'load_model' or 'fit'.

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 'load_model' or 'describe_component'. The description implies usage with a spec string but does not clarify exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/sktime/sktime-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server