Critical failures across all dimensions. Input schemas present but minimal: getHealth has empty object (no params), postEcho has nested body structure but lacks parameter descriptions. No output schemas documented. No error handling guidance. Tool names are HTTP-verb-prefixed (getHealth, postEcho) rather than action-verb-noun (get_health_status, echo_message), making intent ambiguous. Descriptions are bare HTTP routes, not LLM-optimized guidance on WHEN/WHY to call these tools. No evidence of pagination, result limits, or composition patterns. Risk annotations (READ_ONLY, WRITE) present but not integrated into descriptions.

• Rewrite tool descriptions as LLM-optimized guidance (50 - 200 chars): 'getHealth' → 'Check if the API service is running and healthy. Returns status and uptime. Call this first to verify connectivity before other operations.' 'postEcho' → 'Echo back a message string for testing. Useful for validating message formatting and API connectivity. Returns the echoed message and timestamp.'
• Add descriptions to all parameters. For postEcho.body.message: 'The message string to echo back (1 - 1000 chars, plain text or JSON). Used to test message handling and formatting.'
• Document output schemas for both tools. E.g., getHealth returns {status: 'healthy'|'degraded', uptime_seconds: number, timestamp: ISO8601}. postEcho returns {echoed_message: string, echo_timestamp: ISO8601}.
• Rename tools to snake_case action-noun pattern: getHealth → get_health_status, postEcho → echo_message. This matches 90% of production tools and clarifies intent.
• Add error handling guidance: 'If getHealth returns status=degraded, retry after 5 seconds. If postEcho fails with 400, validate message is valid UTF-8 and under 1000 chars.'

Inferred effective spec: 2025-06-18+.

• Relies on Logging (deprecated) - log to stderr or use OpenTelemetry