DevFlow Monitor MCP has severe definition quality issues. Only 2 tools are defined, both with minimal schemas and descriptions that fail to meet production standards. Tool definitions appear in test files rather than being properly registered in the server implementation, suggesting incomplete or inferred tool registration. Descriptions are present but generic (under 100 chars), parameter schemas lack proper typing, and there is no evidence of output schema documentation. The server lacks idempotency hints, error recovery guidance, and proper parameter constraints.

• Define complete JSON Schema for all parameters with explicit 'type', 'enum', 'required' fields. Example: { "type": "object", "properties": { "timeRange": { "type": "string", "enum": ["1d", "7d", "30d"], "description": "..." } }, "required": ["timeRange"] }
• Add output schema documentation for each tool. Specify what fields are returned and their types. Example: 'Returns object with keys: { status: string, pipeline_stage: string, metrics: object }'
• Expand tool descriptions to 100-200 chars with WHEN to use guidance. Example: 'Get the current development pipeline stage, methodology, and performance metrics. Call this first to determine if a deeper metrics query is needed.'
• Convert free-form string parameters to enums. For metricType: use enum ["all", "performance", "quality", "reliability", "velocity"]. For timeRange: use enum ["1d", "7d", "30d", "90d"].
• Add tool annotations: declare both tools as readOnlyHint: true and idempotentHint: true to help LLMs understand safety.
• Implement error recovery patterns. When invalid timeRange is passed, return: 'Invalid timeRange. Must be one of: 1d, 7d, 30d, 90d. Example: getMetrics({"timeRange": "7d", "metricType": "performance"})'
• Rename tools to follow snake_case verb_noun convention: 'get_project_status' and 'get_metrics' instead of camelCase.
• Document parameter relationships in descriptions. Example for getMetrics: 'metricType filters which metrics to return. If metricType=performance, response includes latency, throughput, error_rate. If metricType=quality, includes coverage, complexity, defect_density.'