ragflow-mcp-server-fixed
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TDQS
Scored across 5 tools
Most tools have distinct purposes: listing datasets, retrieving chunks, and creating chat sessions are clear. However, ask_configured_chat and chat both serve QA functions, which could lead to confusion if the agent does not carefully read the descriptions.
Tool names are inconsistent: some are verb_noun (list_datasets, create_chat), others are single verbs (chat, retrieve), and one includes an adjective (ask_configured_chat). This mixed pattern can confuse an agent.
With 5 tools, the surface is slightly lean but still covers essential RAGFlow operations: listing datasets, creating chats, retrieving chunks, and QA. It does not feel bloated, though a few more tools could enhance completeness.
The tool set lacks update and delete operations for both chats and datasets, and there is no tool to manage documents within datasets. This leaves significant gaps for a production RAG system, potentially causing agent failures.