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us-all

mlflow-mcp-server

by us-all

create-run

Creates a new run in an MLflow experiment with optional start time, name, and tags.

Instructions

Create a new run in an experiment

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
experimentIdNoExperiment ID (defaults to MLFLOW_EXPERIMENT_ID)
startTimeNoUnix timestamp (ms) of run start
runNameNoOptional run name
tagsNoInitial tags
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It only states 'create', implying mutation, but does not elaborate on side effects, required permissions, or state changes beyond the schema.

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 a single concise sentence with no wasted words. It is front-loaded but could benefit from additional contextual details without sacrificing brevity.

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 4 parameters and no output schema, the description is incomplete. It does not mention the return value (e.g., run ID), defaults (e.g., experimentId from environment), or behavioral aspects like idempotency.

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?

Schema coverage is 100% with each parameter described, so the description need not add param info. However, it adds no extra context beyond the schema, so baseline 3 is appropriate.

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 'create' and resource 'a new run in an experiment', which accurately reflects the tool's function. It is distinct from siblings like update-run and delete-run.

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

Usage Guidelines1/5

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, such as when experimentId defaults are acceptable or when to use update-run instead. No context about 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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