Loading ToolBench
A Swift framework for integrating SQLite database querying with language models, providing SQL execution tools, schema introspection, and destructive operation confirmation.
SwiftDBAI exposes a single tool, execute_sql, with a minimal schema and generic description. The tool lacks parameter descriptions, output schema documentation, and error handling guidance. The description (58 chars) is below the 194-char baseline and does not explain when to use the tool, what it returns, or how to handle errors. No input validation constraints are visible. The codebase shows sophisticated destructive operation classification logic (ToolExecutionDelegate), but this safety mechanism is not surfaced in the tool definition itself, the MCP tool lacks annotations or error guidance to leverage it.
Execute a SQL query against a SQLite database.
Parameter 'sql' lacks description. LLMs cannot infer whether to pass raw SQL, parameterized queries, or prepared statements, or what SQL dialects are supported.
No output schema documented. LLMs do not know what fields to expect (rows, column names, affected row count, error details), forcing them to guess and parse unstructured responses.
Tool description (58 chars) is below baseline (194 chars) and does not explain WHEN to use it, WHAT it returns, or HOW to handle errors. Does not mention destructive operation confirmation or safety constraints.
No error handling guidance. Tool does not document retryable vs fatal errors, SQL syntax errors, permission failures, or how to recover. LLMs receive raw errors with no recovery path.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | F | 36 | 2026-07-28+ | v2 |
Destructive operation safety (DELETE, DROP, ALTER, TRUNCATE) is implemented in ToolExecutionDelegate but not exposed via tool annotations (destructiveHint) or error responses. LLMs cannot see which operations are dangerous.