ChotuRoboServer has 8 tools with basic schemas and descriptions, but significant quality gaps. Tool names lack action verbs (chotuBlinkEyes, chotuBuzzSound use camelCase instead of verb_noun convention). Descriptions are present but minimal (10-50 chars), below the 50-200 char baseline for LLM optimization. Parameters have type definitions (number, boolean) but lack detailed constraints, ranges, or format guidance. No output schemas documented. Error handling is absent, tools return generic text responses without recovery guidance. No parameter validation, no enum constraints for state parameters, no idempotent hints despite write operations. Prompts are defined but lack descriptions. Overall structure is functional but falls short of production-grade tool design.

• Rename tools to verb_noun convention: chotuBlinkEyes → blink_eyes, chotuBuzzSound → buzz_sound, runMotor → start_motor, moveServo → move_servo, controlFan → set_fan, toggleRelay → set_relay. This matches LLM expectations and production baselines.
• Expand descriptions to 50-200 chars with WHAT, WHEN, and side effects. Example: 'Blinks the robot's eye LED. Use to signal readiness or acknowledgment. Blocks for the specified duration; non-idempotent if called during active blink.'
• Document output schemas as structured objects. Instead of returning text, return {status: 'success'|'error', duration_ms: number, message: string}. This enables LLMs to extract and chain data reliably.
• Add parameter constraints: speed (0-255 range), angle (0-180 range), time (1-60000 ms range). Include validation error messages: 'Invalid speed: must be 0-255, got 300.'
• Implement error handling with recovery guidance. Catch hardware timeouts, invalid pin states, and sensor read failures. Return {status: 'error', code: 'TIMEOUT'|'INVALID_PARAM'|'HARDWARE_FAIL', message: 'Motor timeout after 5s. Check connection and retry.', retryable: true}.