Single tool with well-structured schema but significant semantic and composition issues. Tool name 'report_emotional_state' lacks action verb clarity (should be 'report_*' or 'update_*'). Description is adequate (127 chars, within 10-1024 range) but lacks WHEN/WHY guidance for LLM selection. Schema is complete with proper JSON Schema types and constraints (0-1 ranges on state dimensions, enums on risk types/severity). However, the tool violates single-responsibility principle: it conflates state reporting, risk alerting, and pressure mapping into one call. No error handling guidance, no recovery paths, no output schema documentation. Parameters lack descriptions explaining what each dimension means to the agent. Tool is designed for dashboard telemetry, not agent composition, unclear when an LLM should invoke it or what to do with the response.

• Split report_emotional_state into three focused tools: update_ambient_state (state object only), report_risks (risks array only), report_pressures (pressures array only). Each tool has one responsibility and clearer LLM intent.
• Add 20-50 char descriptions to each state dimension parameter: 'engagement: 0-1 scale indicating how focused Claude is on the current task' (vs bare 'Engagement level').
• Document output schema: return {heartbeat: 'green'|'amber'|'red', status: 'updated'|'error', message: string, dashboard_url: string}. Include field descriptions so LLM knows what to extract.
• Add error handling: validate that state values are 0-1, risks array is non-empty if provided, pressures magnitudes are 0-1. Return {status: 'error', reason: 'Invalid engagement: 1.5 (must be 0-1)', suggestion: 'Clamp to 0-1 range'} with actionable guidance.
• Clarify tool purpose in description: 'Call this after each response to update the Aura dashboard with Claude's functional state. Returns heartbeat status (green/amber/red) indicating system health.' Add WHEN guidance: 'Use when you detect context fading, budget pressure, or confidence shifts.'