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Snowflake Drop Warehouse

snowflake_drop_warehouse
Destructive

Drops a Snowflake virtual warehouse after confirmation to remove unused compute resources and reduce costs.

Instructions

Drop a virtual warehouse. Requires confirmation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
confirmNo
warehouse_nameYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed5 schema fields changedv1.2.0
    • addedInput schema / additionalProperties
      Added value: +false
    • removedInput schema / properties / confirm / title
      Removed value: -"Confirm"
    • removedInput schema / properties / warehouse_name / title
      Removed value: -"Warehouse Name"
    • removedInput schema / title
      Removed value: -"snowflake_drop_warehouseArguments"
    • removedOutput schema / title
      Removed value: -"snowflake_drop_warehouseDictOutput"
  2. First observedv0.1.0

TDQS

C2.9/5.0
Behavior3/5

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

Annotations already declare destructiveHint=true and readOnlyHint=false, so the safety profile is covered structurally. The description adds the useful detail that confirmation is required, but it never explains the mechanics: whether confirm=true must be passed, what happens when confirm defaults to false, or that the drop is irreversible (no undrop_warehouse sibling exists).

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?

Two short, front-loaded sentences with no filler or redundancy. It is efficient, but the brevity comes at the cost of the semantics that would actually help an agent invoke it correctly.

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 an irreversible destructive operation with zero schema description coverage, the description is too thin: confirm behavior, irreversibility, and required privileges are all unstated. The presence of an output schema excuses it from explaining return values, but that does not offset the behavioral gaps.

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 both parameters rely on the description, which only alludes to one of them ('confirmation') without any true/false semantics. The required warehouse_name parameter is never mentioned at all, leaving the coverage gap largely unfilled.

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 names a specific verb and resource ('Drop a virtual warehouse'), which is unambiguous on its own. However, it does nothing to distinguish this tool from the large family of sibling drop_* tools (drop_table, drop_schema, drop_database, drop_stage, etc.) other than by resource name, which the tool name already conveys.

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, no prerequisites (privileges, active warehouse), and no mention of recovery options. The only usage-adjacent statement is 'Requires confirmation,' which is a constraint rather than routing guidance.

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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