Stoat MCP has well-structured tool definitions with consistent naming (verb_noun pattern), clear descriptions, and proper JSON schemas. All 16 tools follow the verb-first convention (list_, get_, create_, delete_, send_, search_, reply_to_). Descriptions are detailed and include risk/permission context. However, several parameter descriptions lack specificity about constraints (e.g., 'limit' parameters state defaults but not validation ranges), and output schemas are not explicitly documented in the source. Error handling guidance is minimal, tools do not describe recovery paths or actionable error messages. The server respects the chat data model by accepting IDs and providing context-aware filtering (allowlist/blocklist), but lacks batch operations and some composition optimizations.

• Document output schemas for all tools. For get_channel_messages, explicitly state: 'Returns {messages: [{id, author, timestamp, content}], total_count, has_more}'. This enables LLMs to extract and chain data correctly.
• Add minimum/maximum constraints to numeric parameters in JSON Schema. Change 'limit' from a bare integer to {type: 'integer', minimum: 1, maximum: 100, default: 50}. This prevents LLMs from passing invalid values.
• Add error recovery hints to tool descriptions. E.g., 'If the channel is not found, call list_channels() to discover available channels.' This guides agents toward self-correction.
• Implement a confirm_delete_channel tool or add a 'confirm' parameter to delete_channel. Require explicit confirmation before destructive operations to prevent accidental data loss.
• Consider batch variants for reaction tools: batch_add_reactions(message_ids: [string], emoji: string, channel_id: string) to reduce token waste when agents react to multiple messages.