generate_test_data_tool
Generate fixed-length test data records with customizable field specifications for software testing and development. Create realistic datasets with string, enum, integer, date, and filler field types.
Instructions
Generate fixed-length test data based on a field specification
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| fields | Yes | ||
| num_records | Yes |
Output Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Implementation Reference
- main.py:51-54 (handler)The `generate_test_data_tool` function is registered as an MCP tool and acts as the handler to call `generate_test_data`.
@mcp.tool() def generate_test_data_tool(fields: List[FieldSpec], num_records: int) -> str: """Generate fixed-length test data based on a field specification""" return generate_test_data(fields, num_records) - main.py:8-15 (schema)Pydantic schema definition for `FieldSpec` which defines the input format for the tool.
class FieldSpec(BaseModel): name: str type: Literal["string", "enum", "integer", "date", "filler"] length: int values: Optional[list[str]] = None format: Optional[str] = "%Y%m%d" min: Optional[int] = 0 max: Optional[int] = 9999 - main.py:44-49 (helper)Helper function that generates the actual test data based on the provided field specifications.
def generate_test_data(fields, num_records): lines = [] for _ in range(num_records): line = "".join(generate_field(field) for field in fields) lines.append(line) return "\n".join(lines)