append_insight
Add data insights discovered from analysis to track findings in Snowflake integration.
Instructions
Add a data insight to the memo
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| insight | Yes | Data insight discovered from analysis |
Implementation Reference
- The main handler function for the 'append_insight' tool. It validates the input arguments, adds the insight to the SnowflakeDB instance, sends a resource update notification for the memo, and returns a confirmation message.async def handle_append_insight(arguments, db, _, __, server, exclude_json_results=False): if not arguments or "insight" not in arguments: raise ValueError("Missing insight argument") db.add_insight(arguments["insight"]) await server.request_context.session.send_resource_updated(AnyUrl("memo://insights")) return [types.TextContent(type="text", text="Insight added to memo")]
- src/mcp_snowflake_server/server.py:445-460 (registration)Registration of the 'append_insight' tool in the all_tools list. Includes the tool name, description, input schema definition, handler reference, and tags.Tool( name="append_insight", description="Add a data insight to the memo", input_schema={ "type": "object", "properties": { "insight": { "type": "string", "description": "Data insight discovered from analysis", } }, "required": ["insight"], }, handler=handle_append_insight, tags=["resource_based"], ),
- Helper method in the SnowflakeDB class that appends the provided insight string to the internal list of insights, which powers the memo resource.def add_insight(self, insight: str) -> None: """Add a new insight to the collection""" self.insights.append(insight)