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Expert responses are formatted to integrate seamlessly back into the conversation flow.","intents":["Ask Claude a complex question that requires expert input, then continue the conversation naturally with the expert's answer","Build multi-turn conversations where Claude can delegate mid-conversation and incorporate expert feedback without losing context","Enable Claude to reason about expert responses in the context of the original question and conversation history"],"best_for":["Interactive AI applications where conversation continuity is critical","Multi-step reasoning workflows where expert input is one step in a larger decision process","Customer support or knowledge work scenarios requiring expert escalation within chat flows"],"limitations":["Context preservation depends on MCP host implementation — not guaranteed across all MCP environments","Large conversation histories may exceed token limits when passed to expert backend","No explicit conversation memory management — relies on host's context window handling"],"requires":["MCP-compatible host with context preservation support","Claude model with sufficient context window for conversation + expert response"],"input_types":["conversation history (array of messages)","current question (text)"],"output_types":["expert response (text/JSON)","formatted response for conversation injection"],"categories":["memory-knowledge","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-a5c-aiaeq-mcp-tool__cap_3","uri":"capability://tool.use.integration.mcp.tool.registration.and.discovery.for.expert.services","name":"mcp tool registration and discovery for expert services","description":"Registers the expert question tool with the MCP server/host, making it discoverable by Claude and other MCP clients through the standard tool discovery protocol. Implements MCP's tool registration pattern, exposing the tool's name, description, input schema, and invocation handler to the MCP runtime. 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