snowflake_drop_stage

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

With no annotations, the description bears full responsibility for behavioral disclosure. It does mention 'Requires confirmation,' which signals that the operation is destructive and needs an explicit confirm flag. However, it does not describe other important behaviors: what happens to the stage, whether the action is reversible, whether it checks for existing objects, or error handling. The confirmation note is a positive addition, but the description is too sparse to fully convey the destructive nature and operational nuance.

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

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

The description is extremely short (two sentences) and front-loaded with the core action. It has no filler. However, it is so terse that it omits essential details. While every sentence earns its place, the overall brevity results in under-specification. It is appropriately concise but not sufficiently informative, so a neutral score of 3 is warranted.

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

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

For a destructive operation with four parameters and no schema descriptions, the description is incomplete. It does not explain the confirmation flow (e.g., that confirm must be set to true, or what happens if it is false), the role of the optional database and schema_name, or any prerequisites. Even though an output schema exists, the description fails to provide enough context for an agent to invoke the tool correctly. The presence of a confirm parameter is hinted but not clarified, and the parameter semantics are largely missing.

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

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

Schema description coverage is 0%, so the schema provides no meaning for any parameter. The description only mentions 'Requires confirmation,' which maps to the confirm boolean, but it does not explain the roles of stage_name, database, or schema_name. The description does not compensate for the missing schema documentation. An agent would struggle to know how to populate the optional database and schema_name fields or how the confirm flag interacts with the operation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states the action specifically: 'Drop a stage in Snowflake.' It identifies the verb (drop) and the resource (stage) with platform context. The second sentence 'Requires confirmation' hints at the confirm parameter, adding operational detail. It does not explicitly differentiate from sibling drop tools (e.g., drop_table, drop_database), but the resource descriptor makes it clear enough. Slightly below a 5 because it lacks any details that distinguish it from closely related siblings beyond the object type.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

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. There is no mention of prerequisites (e.g., stage existence, permissions), scenarios where it should be avoided, or comparison to other drop tools. The only usage hint is 'Requires confirmation,' which is more about the parameter than about when to invoke the tool. The description fails to help an agent decide when to choose this over other snowflake_* tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.