⚠️ SCHEMA CHANGE: Create table with columns and constraints. Supports primary keys, defaults, NOT NULL. Fails if exists.

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

With no annotations provided, the description correctly discloses the 'fails if exists' behavior and the schema change nature (⚠️). However, it omits details about authentication requirements, rate limits, or any side effects beyond creation. The description adds some value but not enough to fully compensate for the lack of annotations.

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, efficient sentence that front-loads the key information with an emoji warning. It has no wasted words, but could be slightly improved with bullet points for readability. It is concise and to the point.

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 has 3 parameters, no output schema, and no annotations, the description is incomplete. It fails to mention the optional 'database_name' parameter, the return value (e.g., success/failure message), or any edge cases like constraint violations. It covers only the core functionality.

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 input schema has 0% description coverage, yet the tool description does not explain any parameter. It only mentions 'columns and constraints' generically, without describing the 'name', 'columns', or 'database_name' fields, their types, constraints, or how to use them. This is a critical gap.

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 implies usage for creating tables but provides no explicit guidance on when to use this tool versus alternatives (e.g., using 'execute_schema_query' for custom schema changes) or when not to use it (e.g., if the table might already exist without checking). The context is clear but lacks exclusions or alternatives.

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