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baic-dl-mcp

by prepmonk

create_snowflake_source

Create a Snowflake source connection to bring your data into the BAIC Data Layer. Provide account, database, schema, warehouse, and choose authentication type.

Instructions

Create a new Snowflake source connection.

authentication_type: "default" (username+password), "oauth", or "keypair". Only "oauth" has been confirmed against the live API; if a create fails on this field, that is the most likely cause.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
roleNo
passwordNo
usernameNo
warehouseYes
source_schemaYes
source_databaseYes
account_identifierYes
authentication_typeNodefault

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

With no annotations, the description carries the full burden. It discloses a significant behavioral trait: only 'oauth' is confirmed against the live API, and failure on this field is likely. This adds valuable context beyond the schema, though other aspects like idempotency are not addressed.

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 two sentences, with the purpose front-loaded and the caveat succinctly placed. Every sentence adds value and there is no filler.

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

Completeness3/5

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

The tool has 9 parameters and an output schema, but the description provides minimal context beyond purpose and the authentication caveat. It does not explain required parameter relationships or prerequisites, though the output schema helps reduce the burden.

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 0%, so the description must compensate. It explains authentication_type values and warns about reliability, which adds meaning. However, it ignores the other eight parameters, leaving them to rely on names alone.

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?

The description clearly states 'Create a new Snowflake source connection,' using a specific verb and resource. It is distinct from sibling tools like create_postgres_source and get_source, making the purpose unambiguous.

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

Usage Guidelines3/5

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

The description implies the tool is for Snowflake sources, but does not explicitly state when to use it vs alternatives like create_postgres_source. The authentication_type note provides operational guidance but not 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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