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mlflow-mcp-server

by us-all

list-artifacts

List artifacts stored under a specific MLflow run's artifact directory. Optionally filter by sub-path to retrieve files and logs for analysis.

Instructions

List artifacts under a run's artifact directory

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
runIdYes
pathNoOptional sub-path within the run's artifact directory
pageTokenNo
Behavior2/5

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

No annotations are provided, and the description is minimal. It does not disclose behavioral traits such as pagination behavior, limits, or what happens if the path is invalid. The pageToken parameter in the schema is not explained.

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?

The description is one line and efficient, but could be slightly more informative without being verbose. It earns its place but misses an opportunity to add value.

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?

For a simple list tool, the description lacks context on return values, pagination, error handling, and further usage. Without annotations or output schema, the description should be more complete.

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 description coverage is only 33% (path has a description). The tool description does not add any additional meaning to the parameters beyond what the schema provides, failing to compensate for the low coverage.

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 verb 'list' and the resource 'artifacts under a run's artifact directory'. It is specific and distinguishes from sibling tools which focus on runs, experiments, models, etc.

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 vs alternatives. The description does not mention any context, prerequisites, or exclusions.

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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