Strong domain-specific tool design with clear safety semantics and good descriptions. All 8 tools have descriptions (avg 180 chars, within baseline 194). All parameters are typed and described. Tool names follow verb_noun pattern (list_, get_, set_, output_, power_). However, output schemas are not explicitly documented in the code, responses are inferred from context (e.g., get_status returns dict, set_voltage returns dict with port/location/settings). No enum constraints on port parameter despite it being a critical identifier. Error handling is present (SupplyError) but recovery guidance is minimal. Safety gating via elicitation is well-designed but not reflected in tool annotations (destructiveHint/readOnlyHint missing).

• Document output schemas explicitly. Add Pydantic model definitions (e.g., StatusResponse, SettingsResponse) and reference them in tool docstrings so LLMs know what fields to expect.
• Add numeric constraints to parameter descriptions: 'volts: float (0.0 - 30.0 V, supply model dependent)' and 'amps: float (0.0 - 5.0 A, supply model dependent)'. Reference model max from get_status.
• Implement tool annotations: mark set_voltage/set_current/output_on/power_cycle as destructiveHint=true; mark power_cycle as idempotentHint=true; mark get_status/list_supplies as readOnlyHint=true.
• Enhance error messages with recovery guidance. Instead of 'user declined over-limit request', return 'User declined {volts}V request (session max {limit}V). Try a lower voltage or ask the user to increase the session limit.'
• Add port parameter validation or enum. Document: 'port: device path (e.g., /dev/ttyUSB0) or USB location string (e.g., 1-1.2.1). Call list_supplies() to discover available ports.' Validate against discovered ports.