Two well-named, read-only tools with strong descriptions that clearly state purpose, limitations, and disclaimers. Both tools have complete input schemas with typed parameters and descriptions. Output schemas are not explicitly documented in the source, but tool implementations return structured JSON. Naming follows verb_noun pattern (screen_name, get_sanctions_entry). Descriptions are detailed (200+ chars) and include critical caveats about indicative matching and human verification requirements. Parameters are well-described with clear intent. No error handling guidance visible in the code; no recovery patterns documented. Security is appropriate for read-only operations. Composition is clean: two distinct responsibilities, no overlapping functionality.

• Document output schemas for both tools. Specify that screen_name returns {matches: [{id, name, regime, type, sanctions, reasons_snippet}], total_count} and get_sanctions_entry returns {id, names: [], regimes, designation_date, sanctions, dob, nationality, statement_of_reasons}.
• Add min/max constraints to screen_name limit parameter: 'Max matches to return (1 - 100, default 10).' This prevents runaway queries.
• Enhance error messages with recovery hints. E.g., catch block should return: 'Invalid Unique ID format. IDs are alphanumeric (e.g., RUS0001). Use screen_name to find valid IDs.' instead of generic error.
• Add a tool annotation or note clarifying that both tools are read-only and safe to call repeatedly without side effects (idempotent).
• Consider adding a third tool (e.g., list_regimes or get_dataset_info) to help agents discover available sanctions regimes and dataset currency without trial-and-error screening.