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mlflow-mcp-server

by us-all

create-registered-model

Register a new model with a unique name, optional description, and tags in the MLflow model registry.

Instructions

Create a new registered model in the model registry

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesRegistered model name (unique within registry)
descriptionNo
tagsNo
Behavior2/5

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

No annotations provided, and the description does not disclose behavioral traits beyond the action itself. For a creation tool, it lacks info on uniqueness constraints, idempotency, permissions, or side effects.

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?

Single sentence, no waste. However, it could be front-loaded with more key details (e.g., uniqueness of name, required fields). Still concise enough.

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?

With 3 parameters, no output schema, no annotations, the description is minimal. It does not specify return value, error conditions, or relationship to sibling tools (e.g., model versions). Incomplete for a creation tool.

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% (only 'name' described). The description adds no parameter meaning. It does not compensate for the missing descriptions of 'description' and 'tags'.

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 'Create a new registered model in the model registry' with a specific verb and resource. It distinguishes from siblings like 'create-model-version' and 'update-registered-model'.

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

Usage Guidelines3/5

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

No explicit when-to-use or alternatives guidance. The description is straightforward for a create tool, but lacks context about prerequisites or relationships (e.g., need to use after creating experiment).

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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