Mumbai Parijat Verma - RAG-to-MCP Submission - #38
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… added injury/child/school/hospital/ambulance/fire/hazard/fell/collapse keyword scan that forces Urgent independent of category, plus tied-score ambiguity detection (Other + NEEDS_REVIEW) to stop false-confidence guessing Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
…unking blended unrelated sections (max query similarity 0.39, always below the README's 0.6 refusal cutoff) → switched to section-boundary sentence-safe chunking (21 focused chunks vs 6 diluted ones) and recalibrated the threshold to 0.3 based on measured separation between in-scope reference queries (0.37-0.77) and the out-of-scope one (0.21) Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
…] placeholder with no scope → named all three CMC policy documents explicitly plus the refusal condition in TOOL_DEFINITION, added tools/call input validation (-32602 for missing/blank question or unknown tool name), and always-HTTP-200 JSON-RPC error handling (-32700/-32601/-32603) Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
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Hi there, participant! Thanks for joining our RAG-to-MCP Workshop! We're reviewing your PR for the 3 Use Cases (UC-0A, UC-RAG, UC-MCP). Once your submission is validated and merged, you'll be awarded your completion badge! Next Steps:
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### RAG-to-MCP — Submission PR
Name: Parijat Verma
City / Group: Mumbai
Date: 2026-07-20
AI tool(s) used: Claude Code (Sonnet 5)