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Snowflake Create Table

snowflake_create_table

Create a Snowflake table using specified column definitions SQL. Optionally target a database and schema, and skip errors if the table already exists.

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

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed8 schema fields changedv1.2.0
    • addedInput schema / additionalProperties
      Added value: +false
    • removedInput schema / properties / columns_sql / title
      Removed value: -"Columns Sql"
    • removedInput schema / properties / database / title
      Removed value: -"Database"
    • removedInput schema / properties / if_not_exists / title
      Removed value: -"If Not Exists"
    • removedInput schema / properties / schema_name / title
      Removed value: -"Schema Name"
    • removedInput schema / properties / table_name / title
      Removed value: -"Table Name"
    • removedInput schema / title
      Removed value: -"snowflake_create_tableArguments"
    • removedOutput schema / title
      Removed value: -"snowflake_create_tableDictOutput"
  2. First observedv0.1.0

TDQS

C2.7/5.0
Behavior2/5

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

Annotations already disclose that this is a non-read-only, non-destructive, open-world write operation. The description adds no further behavioral context such as required privileges, default if_not_exists behavior, or whether the operation is transactional. It only restates the purpose without enriching the safety or execution profile.

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

Conciseness4/5

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

The definition is a single front-loaded sentence with no filler. It is appropriately concise, though the phrasing 'column definitions SQL' is slightly awkward. The brevity is efficient but leaves the sentence carrying little structure.

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?

With five parameters, 0% schema description coverage, and a large sibling set, the description is incomplete. It does not clarify optional database/schema scoping, the default behavior of if_not_exists, or the expected SQL syntax. The presence of an output schema and annotations helps, but the input contract remains under-explained.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must explain the five parameters, but it only vaguely references column definitions. It does not explain database, schema_name, table_name, or if_not_exists. The single phrase 'specified column definitions SQL' adds minimal meaning beyond the parameter name columns_sql.

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 and resource: "Create a table in Snowflake." It distinguishes this from sibling operations like create_schema or create_database by naming the object type. It does not, however, differentiate from related table operations such as clone_table or undrop_table.

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 gives no when-to-use guidance or alternatives. It does not mention clone_table, undrop_table, or when to prefer creating over cloning. An agent receives only the implied use from the verb 'Create'.

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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