Foreman provides 11 well-named, read-only tools with consistent verb_noun naming (list_, get_, search_). All tools have descriptions in German (10 - 150 chars, within baseline 34 - 392 range). Input schemas are present and typed for all tools. However, descriptions lack LLM-optimized detail: they state WHAT but rarely explain WHEN to use each tool or dependencies between them. Parameter descriptions are minimal (e.g., 'Die ID der Maschine' for machine_id). Output schemas are not documented, LLMs cannot infer what fields to expect from list_machines or get_alarms. Error handling is absent from visible code. No pagination guidance despite tools accepting limit/offset. German descriptions are a localization choice but reduce LLM clarity in English-first agent contexts.

• Document output schemas for all tools. Specify what fields each returns (e.g., list_machines returns [{machine_id, name, status, drift_active, warning_open}, ...]) so LLMs can plan downstream calls.
• Expand descriptions to 100 - 150 chars and include WHEN to use each tool. E.g., 'get_drift_status: Returns unacknowledged behavior warnings for a machine. Use this to check if a machine has active drift before deciding on maintenance. Requires machine_id.'
• Add actionable parameter descriptions with format/range hints. E.g., 'machine_id: Integer ID of the machine (1 - 10000). Obtain from list_machines or from the machine's serial number via search.'
• Add error handling guidance: 'If machine_id is invalid, returns 404 with available machine IDs. If no alarms match filters, returns empty list (not an error).'
• Translate descriptions to English or provide English variants. German descriptions reduce clarity for English-first LLM agents and limit adoption.