createTables

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

No annotations provided; description covers batch creation, failure skipping, and ERD updates, but does not disclose destructive nature, permissions, or rollback behavior.

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?

Efficient, front-loaded sentences with no unnecessary words; every sentence adds value.

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?

Covers batch creation, failure, and context, but misses return value description and deeper error handling, which is important given no output schema.

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 coverage is 100%, so description adds minimal per-parameter meaning; the batch and failure reporting context is helpful but not substantial beyond schema.

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 clearly states 'Create one or more new tables' with specific verb and resource, distinguishing it from sibling tools like modifyTables or listTables.

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 explains batch creation, failure handling, and context usage, but lacks explicit guidance on when to use versus alternatives like modifyTables or executeQuery.

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