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Snowflake Drop Table

snowflake_drop_table
Destructive

Drop a specified table in Snowflake after a confirmation flag is set, enabling safe cleanup of database objects.

Instructions

Drop a table in Snowflake. Requires confirmation flag.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
confirmNo
table_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 / table_name / title
      Removed value: -"Table Name"
    • removedInput schema / title
      Removed value: -"snowflake_drop_tableArguments"
    • removedOutput schema / title
      Removed value: -"snowflake_drop_tableDictOutput"
  2. First observedv0.1.0

TDQS

B3/5.0
Behavior3/5

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

Annotations already declare destructiveHint=true, readOnlyHint=false, and openWorldHint=true, so the safety profile is covered. The description adds one genuinely useful operational fact beyond the structured data — that a confirmation flag is required — but says nothing about failure behavior when confirm is omitted, permission requirements, or whether recovery via undrop_table is possible.

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 sentences with no filler, and the destructive action is front-loaded ahead of the prerequisite. It is efficient, though the second sentence is telegraphic enough to be slightly ambiguous about the flag's semantics.

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?

An output schema exists so return values need not be described, and annotations cover destructiveness, leaving the description adequate but thin for a high-consequence DDL tool. The critical missing piece is the mechanics of the confirm gate and the identifier format for table_name.

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% for two parameters, so the description must compensate and largely does not: it gestures at the confirm flag but never says it must be set to true (default is false) or what occurs when it is false. table_name is entirely undocumented — no hint that it expects a fully qualified database.schema.table identifier.

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?

States a specific verb and resource ('Drop a table in Snowflake'), which is unambiguous and distinguishable from undrop_table, truncate_table, and clone_table by name. It does not, however, explicitly contrast itself with the adjacent destructive sibling truncate_table or note that undrop_table is the reverse operation.

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 only guidance is a prerequisite ('Requires confirmation flag'); there is no statement of when to drop versus truncate, clone, or undrop, and no mention of required privileges or irreversibility conditions.

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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