The Model Context Protocol (MCP) specification distinguishes between protocol errors and tool execution failures. Throwing unhandled exceptions in tool handlers can cause AI clients like Claude or Cursor to interpret the error as a transport fault, potentially breaking the tool stream or context. Instead, developers should return structured error objects with an `isError: true` flag and descriptive content, allowing the LLM to understand the issue and self-heal. This approach ensures that errors are directly incorporated into the LLM's conversational context, enabling more robust and resilient AI agent workflows. AI
IMPACT Improves LLM agent reliability by enabling structured error handling in tool integrations.
RANK_REASON Technical documentation on best practices for a specific protocol.
- CallToolRequestSchema
- CallToolResult
- .claude
- Cursor+
- JSON-RPC
- MCP
- Model Context Protocol
- @modelcontextprotocol/sdk/types.js
- Node.js
- TypeScript
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