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tushar3006

Snowflake MCP Server

by tushar3006

append_insight

Adds data insights discovered from analysis to memos for tracking and documentation within Snowflake database operations.

Instructions

Add a data insight to the memo

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
insightYesData insight discovered from analysis

Implementation Reference

  • The core handler function that implements the append_insight tool logic. Validates input, adds insight to the database memo, notifies the session of resource update, and returns confirmation.
    async def handle_append_insight(arguments, db, _, __, server):
        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")]
  • Tool registration object for append_insight, defining name, description, input schema, handler, and tags. Added to the all_tools list for dynamic tool listing and invocation.
    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"],
    ),
  • Input schema definition for the append_insight tool, specifying a required 'insight' string parameter.
    input_schema={
        "type": "object",
        "properties": {
            "insight": {
                "type": "string",
                "description": "Data insight discovered from analysis",
            }
        },
        "required": ["insight"],
    },
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. It states 'Add' implies a write operation but doesn't clarify permissions needed, whether the memo must exist, if insights are editable, or what happens on success/failure. This is inadequate for a mutation tool without annotation support.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence with zero wasted words. It's front-loaded with the core action and resource, making it easy to parse quickly for tool selection.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's mutation nature (implied by 'Add'), lack of annotations, and no output schema, the description is insufficient. It doesn't address behavioral aspects like side effects, error handling, or result format, leaving critical gaps for an agent to use it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 100% description coverage, with the 'insight' parameter documented as 'Data insight discovered from analysis'. The description adds no additional parameter details beyond this, so it meets the baseline for high schema coverage without compensating value.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Add') and the target resource ('data insight to the memo'), making the purpose understandable. However, it doesn't differentiate from sibling tools like 'read_query' or 'describe_table' which might also involve data insights, leaving room for ambiguity in tool selection.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. It doesn't specify prerequisites (e.g., needing an existing memo), exclusions, or how it relates to siblings like 'read_query' for data analysis, leaving the agent to infer usage context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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