bulk_create_samples
Create multiple research samples simultaneously using batch processing to handle large datasets efficiently in RSpace.
Instructions
Creates multiple samples efficiently in a single operation
Usage: High-performance sample creation for large datasets Performance: Much faster than individual create_sample calls Format: List of sample definition dictionaries
Note: Implementation should use batch API endpoints when available Returns: Results for all created samples with error handling
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| sample_definitions | Yes |
Output Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Implementation Reference
- main.py:1192-1207 (handler)Handler function for bulk_create_samples tool, decorated with @mcp.tool for automatic registration. Currently implemented as a stub with TODO for batch creation logic using RSpace inventory API.
@mcp.tool(tags={"rspace", "inventory", "utility"}) def bulk_create_samples(sample_definitions: List[dict]) -> dict: """ Creates multiple samples efficiently in a single operation Usage: High-performance sample creation for large datasets Performance: Much faster than individual create_sample calls Format: List of sample definition dictionaries Note: Implementation should use batch API endpoints when available Returns: Results for all created samples with error handling """ # TODO: Implement bulk creation logic # This would use batch endpoints or optimized iteration # depending on what the RSpace API supports pass - main.py:1192-1192 (registration)The @mcp.tool decorator registers the bulk_create_samples function as an MCP tool with tags for categorization.
@mcp.tool(tags={"rspace", "inventory", "utility"})