snowflake_execute_dml

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

No annotations are present, so the description carries full responsibility for behavioral disclosure. It only states that it executes a data modification statement, which implies mutation but adds no context about transactionality, side effects, permission requirements, or whether the operation is idempotent. The inclusion of CREATE also introduces ambiguity about the actual behavior (DDL vs DML). This is insufficient for a potentially destructive operation.

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 a single concise sentence with no wasted words. It is front-loaded with the core verb and resource. However, it is terse to the point of being under-specified, which is not ideal, but the conciseness itself is good. The structure is clear and easy to parse.

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?

Given the tool's mutational nature and the large set of sibling tools that specialize in specific DDL/DML operations, the description is incomplete. It lacks guidance on when to use this generic tool, what to do about transactions, and how it relates to similar tools. The output schema exists, so return values are covered, but the description itself leaves critical decision-making to the agent without sufficient information.

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?

The schema has no description for the 'statement' parameter (0% coverage), so the description must compensate. It fails to do so meaningfully – it does not explain what format the statement should take, whether it accepts a full SQL string, any syntax requirements, or examples. The description merely implies that the parameter is the SQL statement, adding little beyond the parameter name.

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 verb and resource clearly: 'Execute a data modification SQL statement' and lists specific SQL types. However, including 'CREATE' blurs the line between DML and DDL, which conflicts with the 'data modification' framing and may misdirect an agent that should use dedicated DDL tools like snowflake_create_table or snowflake_create_database. The purpose is identifiable but not sharply delimited from those siblings.

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 usage guidance is provided. The description does not say when to use this generic DML tool versus the many specialized sibling tools (e.g., snowflake_query for read-only, snowflake_create_table for DDL). An agent is left to infer that this tool is for ad-hoc DML, but there is no explicit recommendation or warning about overlaps.

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