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snowflake_create_task

Create a Snowflake task with SQL and schedule for timed or serverless runs. Configure warehouse and database to automate data operations.

Instructions

Create a scheduled or serverless task in Snowflake.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
databaseNo
scheduleNo
task_nameYes
warehouseNo
schema_nameNo
if_not_existsNo
sql_statementYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure, but it says nothing about side effects, whether tasks are created suspended by default, idempotency (note the if_not_exists parameter), required permissions, or how the 'scheduled or serverless' distinction affects behavior. The agent cannot anticipate what happens after creation.

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 description is a single, compact sentence with no fluff. It front-loads the core action. However, it is so short that it borders on under-specification; it earns its place but does not leverage the available space to add value.

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?

For a tool that creates a complex object (a Snowflake task) with 7 parameters and an output schema, this description is insufficient. It omits usage context, parameter semantics, and behavioral nuances. While the output schema might cover return values, the description does not help the agent decide whether this is the right tool or how to construct valid arguments.

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?

Schema description coverage is 0% across 7 parameters, and the description does not compensate by explaining any of them. It fails to clarify the meaning of task_name, sql_statement, schedule, warehouse, database, schema_name, or if_not_exists. The agent must rely entirely on parameter names, which are ambiguous (e.g., 'schedule' could be a cron string or interval).

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 (create) and the resource (a scheduled or serverless task in Snowflake), which is specific and distinct from task-related siblings like drop, resume, or suspend. It could be more explicit about how it differs from other create tools (e.g., create_table), but the verb+resource combination is clear enough for an agent to understand the core purpose.

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 is provided on when to use this tool versus alternatives such as snowflake_create_alert, snowflake_create_pipe, or even snowflake_execute_task. The description does not state prerequisites (e.g., required privileges), nor does it mention when not to use it. An agent would have to infer usage from the name alone.

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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