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npow

metaflow-mcp-server

by npow

get_artifact

Retrieve the value of a data artifact from a Metaflow task using its pathspec and artifact name.

Instructions

Get the value of a data artifact from a task.

Args: pathspec: Task pathspec like "FlowName/RunID/StepName/TaskID". name: Artifact name (e.g. "model", "result").

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathspecYes
nameYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations provided; description does not disclose any behavioral traits beyond basic action. Output schema exists but description itself lacks transparency about read-only nature, failure modes, or return format.

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?

Description is short and to the point, but includes an 'Args:' section that could be integrated more concisely. Efficient overall.

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 output schema exists, description does not need to explain return values. It addresses both parameters and purpose, but could mention that the artifact value is the return.

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?

Despite 0% schema coverage, description adds clear meaning to both parameters with examples: pathspec format and artifact name examples, fully compensating for schema gaps.

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?

Description clearly states 'Get the value of a data artifact from a task' with specific verb and resource, and distinguishes from sibling tools like list_artifacts and search_artifacts.

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 like list_artifacts or search_artifacts. No exclusions or contextual cues provided.

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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