adb-link provides 10 well-named tools with complete input schemas and descriptions. Tool names follow the verb_noun pattern (list_, get_, execute_, explain_, submit_, get_async_). All tools have descriptions (194-288 chars, within baseline), and all input parameters are typed and described. However, there are significant gaps: (1) Output schemas are NOT documented, only input schemas are visible in the source. The handler functions return `jsonString()` without schema documentation for what fields the response will contain. (2) Parameters lack constraints, numeric limits, enum values, and format specifications are minimal or missing. (3) Error handling is generic, handlers return raw `err` without recovery guidance. (4) No pagination metadata (limit defaults to 100 but no total_count or next_cursor documented). (5) Parameters like 'sql' accept free-form input without injection prevention hints. These gaps prevent LLMs from reliably reasoning about output and planning multi-step calls. The server is functional but lacks the polish expected of a production tool.

• Document output schemas for all tools. Add a response_schema field to each tool definition showing the structure of the returned JSON. Example: list_datasources returns [{name: string, type: string, description: string, serverInfo: {version, sqlMode, timezone, extensions}}].
• Add min/max constraints to numeric parameters. Set limit to 1 - 1000 with default 100, timeout_seconds to 1 - 3600 with default 300, and document these in parameter descriptions.
• Enhance error handling with recovery guidance. When a datasource is not found, return 'Datasource "prod-db" not found. Available datasources: staging-db, dev-db' instead of a bare error. When permission is denied, return 'Permission denied: you do not have access to datasource "prod-db". Contact your admin.'
• Add pagination metadata. For execute_query, return {rows: [], total_count: int, has_more: bool, next_limit_offset: int} so LLMs know when to fetch more.
• Document the JSON schema for submit_async_tool's 'parameters' field. Specify which parameters each tool accepts and mark them as required/optional.
• Add status descriptions to get_async_query_status responses. Return {status: 'running'|'completed'|'failed', progress_percent: int, estimated_remaining_seconds: int, result: {...}} so LLMs can report progress to users.
• Add a 'dry_run' parameter to execute_query (defaults to false) so LLMs can preview query plans without executing them on production databases.
• Validate SQL input early and return clear errors. If a query is malformed, return 'Syntax error in SQL: unexpected token "FROM" at line 2, column 8. Did you mean "SELECT ... FROM"?' instead of a database driver error.