This MCP server has critical quality gaps. The single tool 'extract_action_items' lacks proper schema documentation, has a minimal description, and shows no error handling or output schema definition. The code sample shows a hardcoded stub implementation that returns dummy data rather than actual extraction logic. Transport mechanism is entirely unknown. This is a prototype-level implementation with no production-ready characteristics.

• Define a complete JSON Schema for the output that specifies the structure of action_items array, including required fields (e.g., 'owner', 'task', 'due_date', 'priority'), their types, and descriptions. Example: {"action_items": [{"owner": {"type": "string", "description": "Person responsible for the action"}, "task": {"type": "string", "description": "The action to be completed"}, "due_date": {"type": "string", "format": "date", "description": "ISO 8601 date or null if unspecified"}}]}
• Expand the tool description to 100-200 characters explaining: (1) what an action item is in this context, (2) when to use this tool (e.g., after a meeting to extract next steps), (3) typical response structure. Example: 'Extracts action items (owner + task pairs) from meeting transcripts. Use after calls/meetings to identify follow-up work. Returns a list with owner names and task descriptions.'
• Add validation and error handling: check for empty transcript, handle transcripts exceeding max length (e.g., 50k chars), and return actionable error messages. E.g., 'Transcript is empty. Provide a meeting transcript with at least 10 words.' or 'Transcript exceeds 50,000 character limit. Please provide a shorter transcript or split into multiple calls.'
• Implement actual extraction logic instead of the hardcoded stub. Use pattern matching, regex, or an NLP model to identify action items from the transcript text. If using an external API, document dependencies and error modes.
• Add a 'max_items' or 'limit' parameter (default 50) to control result size, preventing large responses from bloating the LLM context. Document the limit in the description.