Server has 11 tools with complete schemas and descriptions in German. Naming follows verb_noun pattern (search_, get_, list_) and is generally clear. Descriptions are present (avg ~150 chars) and explain purpose well. However, parameter descriptions lack detail on constraints, valid ranges, and error recovery guidance. Output schemas are documented in code but not formally exposed. Error handling returns basic error dicts without actionable recovery steps. No tool annotations (readOnlyHint, etc.). Composition is sound, tools are single-purpose and chainable. Security is adequate for read-only tools but lacks audit logging.

• Convert prose constraint lists ('15min, 1h, 4h...') to JSON Schema enums. E.g., 'timespan' should be {type: 'string', enum: ['15min', '1h', '4h', '1d', '3d', '7d', '1m']}. This is machine-parseable and prevents LLM hallucination.
• Add min/max to numeric parameters in schema. E.g., max_records: {type: 'integer', minimum: 1, maximum: 250, default: 10}. Rubric baseline: 100% of A+ tools declare numeric bounds.
• Enhance error responses with recovery guidance. Instead of {'error': 'Connection timeout'}, return {'error': 'Connection timeout', 'retryable': true, 'next_step': 'Retry in 5 seconds or try a simpler query'}. Reference pattern:recovery-guide.
• Add readOnlyHint: true to all tool schemas. This formally declares safety and lets agents reason about retry safety. Example: {'readOnlyHint': true} in tool definition.
• Document output schemas in tool registration using a 'returns' field or JSON Schema output property. E.g., search_global_news returns {type: 'object', properties: {artikel: {type: 'array', items: {type: 'object', properties: {titel: {type: 'string'}, url: {type: 'string'}, ...}}}}}. This enables LLM planning.