Three tools with clear German descriptions and proper Spring AI @Tool annotations. All tools have input schemas with type definitions and parameter descriptions. Tools follow verb_noun naming but in German (beschluesse_suchen, in_beschluss_suchen, beschluesse_listen), which is acceptable for domain-specific servers. No error handling guidance visible. Tool composition is sound, three distinct, single-responsibility tools with clear chaining potential (list → search → search-within).

• Add explicit JSON Schema constraints: minimum: 1, maximum: 20 for limit parameters. Remove example values from descriptions; replace with formal enum or pattern constraints.
• Document BeschlussResult output schema in tool metadata or description: 'Returns list of objects with fields: title (string), topic (string), content (string), pdfUrl (string), filename (string)'.
• Add error handling guidance to inBeschlussSuchen: 'If document not found, call beschluesseListen() to see available documents, or try beschluesseSuchen() with a broader query.'
• Consider enriching beschluesseListen response with metadata (e.g., {filename, topic, uploadDate}) to enable smarter filtering without extra calls.
• Add idempotent/readOnly hints via Spring AI tool annotations to signal these are safe, repeatable operations.