restore-run
Restore a deleted MLflow run by providing its run ID, allowing recovery of experiment data.
Instructions
Restore a deleted run
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| runId | Yes | Run ID to restore |
Restore a deleted MLflow run by providing its run ID, allowing recovery of experiment data.
Restore a deleted run
| Name | Required | Description | Default |
|---|---|---|---|
| runId | Yes | Run ID to restore |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, and the description only states the action without detailing side effects, permissions, or what restoration entails (e.g., restoring tags/metrics).
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Extremely concise with one clear sentence, front-loaded. Could slightly expand without losing conciseness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Simple tool but lacks output schema; description doesn't mention return values or confirm restoration. Context from siblings like delete-run could hint at needed detail.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% and the parameter description is clear. The tool description adds no additional meaning beyond the schema, so baseline 3.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb 'restore' and the resource 'a deleted run', distinguishing it from siblings like delete-run, create-run, and update-run.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
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 like create-run or update-run. No prerequisites mentioned (e.g., run must be deleted first).
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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