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snowflake_create_table

Create a Snowflake table with custom column definitions, specifying table name, columns SQL, optional database/schema, and if-not-exists behavior.

Instructions

Create a table in Snowflake with specified column definitions SQL.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
databaseNo
table_nameYes
columns_sqlYes
schema_nameNo
if_not_existsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description carries full responsibility. It only states the action 'create', implying a mutation but not disclosing any other behavior: what happens if the table exists, whether it validates SQL, if it uses default settings, or how it interacts with the 'if_not_exists' flag. There is no mention of side effects, permissions, or reversibility. For a DDL operation, this is a significant transparency gap.

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

Conciseness2/5

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

The description is a single short sentence, which is concise, but it is under-specified to the point of being unhelpful. It appears more like a label than a guideline. While it is front-loaded with the core verb, it omits any elaboration that would make the sentence useful, so it does not 'earn its place' effectively.

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

Completeness1/5

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

Given the tool has 5 parameters, no annotations, and zero schema coverage, the description is far too sparse. It does not explain the expected return value (even though an output schema exists, the description doesn't reference it), the behavior of defaults, or the interaction between parameters. An agent would have no confidence in constructing a correct invocation without external knowledge of Snowflake DDL.

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

Parameters1/5

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

With 0% schema description coverage, the description must explain parameters, but it does not mention any of the five parameters. 'specified column definitions SQL' hints at columns_sql but doesn't clarify its format (e.g., a fragment like 'col1 INT, col2 VARCHAR' or full CREATE TABLE subclause). Database, schema_name, table_name, and if_not_exists are entirely unexplained, leaving the agent to guess required context and defaults.

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 states a specific verb ('Create'), a resource ('a table in Snowflake'), and the general mechanism ('specified column definitions SQL'). It is clear enough to distinguish from 'clone_table' and other DDL operations. However, it lacks any refinement about table ownership, schema, or database context, which is slightly vague but still specific overall.

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?

There is no guidance on when to use this tool versus alternatives, such as 'snowflake_clone_table' or 'snowflake_create_schema'. No context about prerequisites (e.g., database/schema must exist) or conditions where this is inappropriate is given. The intended usage is only implied by the name and description, not explicitly stated.

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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