This server has 12 tools but suffers from significant definition quality gaps. While tool names follow verb_noun conventions (consultProductManager, generatePRD, start_workflow), the schema documentation is incomplete. Most critical: input parameter descriptions are minimal or missing context about valid values, formats, and constraints. Output schemas are entirely undocumented, the server does not declare what fields responses contain, forcing LLMs to guess at return structure. Error handling is mentioned as a feature but not visible in the provided code. The conversation management and workflow concepts are sound, but the tool definitions lack the rigor expected of production systems.

• Document the output schema for EVERY tool. At minimum, include a 'returns' field in the tool definition with a JSON Schema object listing all response fields, their types, and descriptions. Example for consultProductManager: 'returns: { conversationId: string, message: string, topicsCompleted: string[], nextTopic?: string }'.
• Expand parameter descriptions to 50-150 characters, including format hints and constraints. For projectInfo, change to: 'Detailed project description or clarifying question (1-2000 characters). Include target users, core features, business goals, and any technical constraints.'
• Add explicit tool chaining guidance. For generatePRD, update description to: 'Generate a Product Requirements Document from a prior consultProductManager conversation. Requires a conversationId from an active consultation, call consultProductManager first if you do not have one.'
• Implement structured error responses with actionable recovery guidance. Instead of a raw error, return: { error: 'ConversationNotFound', message: 'Conversation conv_123 not found', recovery: 'Start a new conversation with consultProductManager() or provide a valid conversation ID from an active session' }.
• Add result limit documentation. For get_workflow_status, specify: 'Returns workflow status and up to 100 most recent log entries. Use pagination if history exceeds this; call with include_older_logs=true to fetch prior records.'
• Document timeout and partial failure behavior for start_parallel_workflow. Clarify: 'If expert timeout is exceeded, that expert result returns { status: "timeout", expert: "product_manager" }. allowPartialFailure=true means the workflow continues with results from other experts; allowPartialFailure=false fails the entire workflow.'

Inferred effective spec: <=2025-11-25.

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