⚠️ SCHEMA CHANGE: Create table; fails if it exists.

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

With no annotations, the description carries the full burden. It does disclose that this is a schema change and that creation fails if the table exists. However, it does not mention transaction behavior, permissions, side effects on existing data, or what happens after a successful creation. The provided traits are basic but not misleading.

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 entire description is one short, front-loaded sentence that conveys the action, the schema-change nature, and a failure condition. There is no filler or redundant elaboration.

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 simple DDL tool, the description is minimally viable: it states the operation and the key failure behavior. However, it omits clear details about database_name semantics, whether a database must be open, and any return/confirmation behavior. The rich column schema partially compensates, but important context remains absent.

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%, and the description does not compensate. It never mentions the meaning of name, columns, or database_name, nor does it explain how to specify column types or constraints. The schema provides structure but no semantic guidance, and the description adds none.

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?

Tautological: description restates name/title.

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?

The description provides no guidance on when to use this tool versus alternatives. It does not mention preferring execute_schema_query for other DDL, prerequisites like an open database, or any exclusions. The only hint is that it fails if the table already exists, which implies a condition but not a usage policy.

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