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kkruglik

MLflow MCP Server

by kkruglik

delete_experiment

Destructive

Delete an MLflow experiment and all its runs, moving them to a recoverable deleted stage. Removes from UI and queries while preserving data for API recovery.

Instructions

Delete an experiment and all its runs. Moves to the 'deleted' lifecycle stage — not shown in UI or queries, but recoverable via the MLflow API.

Args: experiment_id: The experiment ID to delete.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
experiment_idYes
Behavior4/5

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

Annotations already provide destructiveHint=true, but the description adds valuable context: the delete is a soft delete (move to 'deleted' stage and recoverable). This goes beyond the annotations and helps the agent understand the true behavior.

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?

The description is concise: two short paragraphs. The first paragraph front-loads the purpose and behavior. The second paragraph lists the argument. Every sentence adds value without redundancy.

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?

For a simple tool with one parameter and no output schema, the description covers the purpose, effect on runs, lifecycle stage, and recoverability. It does not mention return values, but that is acceptable given the tool's simplicity.

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?

The single parameter 'experiment_id' is merely restated as 'The experiment ID to delete' without additional format, validation, or example. With 0% schema description coverage, the description adds minimal value beyond the schema itself.

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 'delete', the resource 'experiment', and specifies it moves to a 'deleted' lifecycle stage, which distinguishes it from other delete tools like delete_run. It explains the soft-delete behavior, making the purpose unambiguous.

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?

The description provides clear context: the experiment will not be shown in UI or queries but is recoverable. This guides the agent on when to use it. However, it does not explicitly state when not to use it or mention alternatives among sibling tools.

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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