⚠️ SCHEMA CHANGE: Import schema from SQL or JSON. Creates tables, indexes, views, triggers. Fails if objects exist without IF NOT EXISTS.

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

Since no annotations are provided, the description carries the full burden. It successfully discloses key behaviors: the tool creates multiple object types, and it fails if objects exist without IF NOT EXISTS. However, it does not state whether the operation is idempotent, what permissions are required, or what happens on success (e.g., silent success vs. returning a summary).

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 concise (two sentences) and front-loaded with a warning emoji and key capability summary. Every sentence provides meaningful information, though more detail could be added without becoming verbose.

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 complexity (3 parameters, including a required string up to 100K chars) and lack of output schema, the description is incomplete. It fails to explain how the JSON schema should be formatted, the role of database_name, or any return value or confirmation. An AI agent would lack sufficient context to use the tool reliably.

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 description must compensate. It mentions 'from SQL or JSON', which loosely maps to the 'format' parameter, but does not explain the allowed values or the structure of JSON schemas. The 'schema' parameter is described only as the input, and 'database_name' is not mentioned at all. This is insufficient for correct parameter usage.

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 prerequisites (e.g., database must exist) or scenarios where this tool should be avoided. There is no mention of when to use export_schema or execute_schema_query as alternatives.

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