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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It explains what the tool returns (DDL with comments and constraints) but does not state whether the operation is read-only, what permissions are required, or how it handles invalid or nonexistent table names. This is a significant gap for a tool that could be assumed to be safe by default.

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 that front-loads the core action: 'Return the CREATE TABLE (DDL)'. It includes relevant details about comments and constraints without any waste or unnecessary jargon.

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 tool with one parameter and no output schema, the description adequately explains the return value and the specific table type (Ross ERP 8.0). However, it could add context about error behavior or the fact that the table must exist, which are not covered. Overall, it is fairly complete for its complexity.

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 fully documents the single parameter 'name' with description and example, achieving 100% coverage. The description does not add additional semantic context, so the baseline of 3 is appropriate—the schema already carries the parameter information, and the description does not enhance it.

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 the tool's function: returning the CREATE TABLE DDL for a Ross ERP 8.0 table, including column descriptions as comments and primary/foreign key constraints. This specific action distinguishes it from sibling tools like lookup_table or search_columns, which are likely about metadata retrieval rather than DDL generation.

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 does not provide explicit guidance on when to use this tool versus alternatives, nor does it mention exclusions or prerequisites. While the purpose implies usage for obtaining DDL, there is no comparison to sibling tools such as lookup_table or schema_stats, leaving the agent to infer applicability.

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