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MCP Snowflake Server NSP

MCP Snowflake Server NSP

by nsphung
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

list_tables

List every table in a specified database and schema, enabling you to see the available data structures.

Instructions

List all tables in a specific database and schema

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "database": "<database>",
      "schema": "<schema>"
    },
    "name": "list_tables"
  }
}

Input Schema

NameRequiredDescriptionDefault
schemaYesSchema name
databaseYesDatabase name

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.14.0

TDQS

B3.4/5.0
Behavior2/5

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

No annotations provided, so description carries full burden. Only states 'list', implying read-only, but no details on permissions, performance, or whether metadata is included. Insufficient for a tool with zero annotations.

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?

Single sentence with no wasted words. Front-loaded and efficient.

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

Completeness4/5

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

For a simple list tool with full schema coverage and no output schema, the description is adequate. Lacks context about output format but sufficient for basic usage.

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?

Schema coverage is 100% with clear parameter descriptions. Description adds no extra meaning beyond what schema already provides; baseline score of 3 is appropriate.

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

Purpose5/5

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

Description clearly states 'List all tables in a specific database and schema' with a specific verb and resource. It distinguishes from sibling tools like list_databases and list_schemas which cover different resources.

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?

No guidance on when to use this tool vs alternatives like list_databases, list_schemas, or describe_table. No mention of prerequisites (e.g., need to select database first) or when not to use.

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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