Skip to main content
Glama
us-all

mlflow-mcp-server

by us-all

rename-registered-model

Updates the name of a registered MLflow model. Provide the current name and the desired new name.

Instructions

Rename a registered model

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesCurrent name
newNameYesNew name
Behavior2/5

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

No annotations provided, and description is minimal. It does not disclose side effects (e.g., impact on aliases, tags, model versions), permissions required, or whether renaming is reversible. This is insufficient for a mutation operation.

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?

Single sentence with zero waste. Front-loaded with the key action and resource.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no annotations or output schema, the description is minimally complete for a simple rename operation. However, it lacks details about constraints or consequences, which reduces its completeness for an agent.

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 description coverage is 100%, with both parameters documented. The description adds no additional meaning beyond the schema, earning a baseline score.

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 the action 'rename' and the resource 'registered model'. It effectively distinguishes from sibling tools like create, delete, or update operations on registered models.

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 guidance on when to use this tool versus alternatives, but the purpose is straightforward and implied by the verb. Lacks mention of prerequisites or situations where renaming might be inappropriate.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/us-all/mlflow-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server