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kkruglik

MLflow MCP Server

by kkruglik

get_run_artifacts

Read-only

Retrieve and browse artifacts from an MLflow run by specifying the run ID and an optional path to navigate directories.

Instructions

List artifacts for a specific run. Use 'path' to browse into directories (e.g., 'configs')

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
run_idYes
pathNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

The description aligns with annotations (readOnlyHint), but it doesn't add behavioral context beyond listing, such as pagination or recursion behavior. With annotations present, the bar is lower, and the description is adequate but not enriched.

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 short sentences, no wasted words. The purpose is front-loaded, and every word earns its place.

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 the presence of an output schema (not shown but indicated), the description does not need to detail return values. It covers the key usage (listing artifacts and browsing). However, it could mention that it returns a list of artifact paths.

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

Parameters2/5

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

Schema coverage is 0%, so the description must compensate. It adds meaning to 'path' with an example but does not explain 'run_id'. The compensation is only partial.

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 'List artifacts for a specific run.' with a specific verb and resource, and it distinguishes itself from sibling tools like get_artifact_content and get_run.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides guidance on using the 'path' parameter to browse directories with an example, which helps the agent know when to use it. However, it doesn't explicitly mention when not to use the tool or alternatives.

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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