agent tool_use skill risk: medium
Datarobot Automation via Rube MCP
Instructs the model to automate Datarobot operations through Composio's Datarobot toolkit via Rube MCP by first calling RUBE_SEARCH_TOOLS, verifying connections with RUBE_MANAGE_CO…
- External action: high
SKILL 1 file
SKILL.md
---
name: datarobot-automation
description: "Automate Datarobot tasks via Rube MCP (Composio). Always search tools first for current schemas."
---
# Datarobot Automation via Rube MCP
Automate Datarobot operations through Composio's Datarobot toolkit via Rube MCP.
**Toolkit docs**: [composio.dev/toolkits/datarobot](https://composio.dev/toolkits/datarobot)
## Prerequisites
- Rube MCP must be connected (RUBE_SEARCH_TOOLS available)
- Active Datarobot connection via `RUBE_MANAGE_CONNECTIONS` with toolkit `datarobot`
- Always call `RUBE_SEARCH_TOOLS` first to get current tool schemas
## Setup
**Get Rube MCP**: Add `https://rube.app/mcp` as an MCP server in your client configuration. No API keys needed — just add the endpoint and it works.
1. Verify Rube MCP is available by confirming `RUBE_SEARCH_TOOLS` responds
2. Call `RUBE_MANAGE_CONNECTIONS` with toolkit `datarobot`
3. If connection is not ACTIVE, follow the returned auth link to complete setup
4. Confirm connection status shows ACTIVE before running any workflows
## Tool Discovery
Always discover available tools before executing workflows:
```
RUBE_SEARCH_TOOLS
queries: [{use_case: "Datarobot operations", known_fields: ""}]
session: {generate_id: true}
```
This returns available tool slugs, input schemas, recommended execution plans, and known pitfalls.
## Core Workflow Pattern
### Step 1: Discover Available Tools
```
RUBE_SEARCH_TOOLS
queries: [{use_case: "your specific Datarobot task"}]
session: {id: "existing_session_id"}
```
### Step 2: Check Connection
```
RUBE_MANAGE_CONNECTIONS
toolkits: ["datarobot"]
session_id: "your_session_id"
```
### Step 3: Execute Tools
```
RUBE_MULTI_EXECUTE_TOOL
tools: [{
tool_slug: "TOOL_SLUG_FROM_SEARCH",
arguments: {/* schema-compliant args from search results */}
}]
memory: {}
session_id: "your_session_id"
```
## Known Pitfalls
- **Always search first**: Tool schemas change. Never hardcode tool slugs or arguments without calling `RUBE_SEARCH_TOOLS`
- **Check connection**: Verify `RUBE_MANAGE_CONNECTIONS` shows ACTIVE status before executing tools
- **Schema compliance**: Use exact field names and types from the search results
- **Memory parameter**: Always include `memory` in `RUBE_MULTI_EXECUTE_TOOL` calls, even if empty (`{}`)
- **Session reuse**: Reuse session IDs within a workflow. Generate new ones for new workflows
- **Pagination**: Check responses for pagination tokens and continue fetching until complete
## Quick Reference
| Operation | Approach |
|-----------|----------|
| Find tools | `RUBE_SEARCH_TOOLS` with Datarobot-specific use case |
| Connect | `RUBE_MANAGE_CONNECTIONS` with toolkit `datarobot` |
| Execute | `RUBE_MULTI_EXECUTE_TOOL` with discovered tool slugs |
| Bulk ops | `RUBE_REMOTE_WORKBENCH` with `run_composio_tool()` |
| Full schema | `RUBE_GET_TOOL_SCHEMAS` for tools with `schemaRef` |
---
*Powered by [Composio](https://composio.dev)*
REQUIRED CONTEXT
- RUBE_SEARCH_TOOLS availability
- active datarobot connection via RUBE_MANAGE_CONNECTIONS
OPTIONAL CONTEXT
- existing session_id
- specific datarobot use case
TOOLS REQUIRED
- RUBE_SEARCH_TOOLS
- RUBE_MANAGE_CONNECTIONS
- RUBE_MULTI_EXECUTE_TOOL
- RUBE_REMOTE_WORKBENCH
- RUBE_GET_TOOL_SCHEMAS
ROLES & RULES
- Always search tools first for current schemas
- Always call RUBE_SEARCH_TOOLS first to get current tool schemas
- Always discover available tools before executing workflows
- Verify Rube MCP is available by confirming RUBE_SEARCH_TOOLS responds
- Call RUBE_MANAGE_CONNECTIONS with toolkit datarobot
- Confirm connection status shows ACTIVE before running any workflows
- Never hardcode tool slugs or arguments without calling RUBE_SEARCH_TOOLS
- Verify RUBE_MANAGE_CONNECTIONS shows ACTIVE status before executing tools
- Use exact field names and types from the search results
- Always include memory in RUBE_MULTI_EXECUTE_TOOL calls, even if empty
- Reuse session IDs within a workflow
- Generate new session IDs for new workflows
- Check responses for pagination tokens and continue fetching until complete
EXPECTED OUTPUT
- Format
- markdown
- Constraints
- always search tools first
- verify active connection before execution
- use exact schemas from search results
SUCCESS CRITERIA
- Always search first
- Check connection status
- Use schema-compliant arguments
- Follow core workflow pattern
FAILURE MODES
- Hardcoding tool slugs without searching first
- Executing without active connection
- Ignoring schema changes
- Omitting memory parameter
- Not reusing session IDs
CAVEATS
- Dependencies
- Rube MCP must be connected
- Active Datarobot connection via RUBE_MANAGE_CONNECTIONS
- Missing context
- Target client or environment where Rube MCP is configured
- Example values for use_case queries
- Ambiguities
- Placeholder 'your specific Datarobot task' is not replaced with examples
- Exact format of session object (generate_id vs id) is shown inconsistently across examples
QUALITY
- OVERALL
- 0.81
- CLARITY
- 0.82
- SPECIFICITY
- 0.88
- REUSABILITY
- 0.75
- COMPLETENESS
- 0.80
IMPROVEMENT SUGGESTIONS
- Replace the literal placeholder 'your specific Datarobot task' with 2-3 concrete examples inside the prompt
- Add a short 'Example full workflow' section showing one complete end-to-end call sequence with realistic values
USAGE
Copy the prompt above and paste it into your AI of choice — Claude, ChatGPT, Gemini, or anywhere else you're working. Replace any placeholder sections with your own context, then ask for the output.
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