autoicd-mcp
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TDQS
Scored across 6 tools
Each tool has a clearly distinct purpose with no overlap: anonymize handles PHI detection/masking, code_diagnosis extracts diagnoses from text, get_code and get_icd11_code retrieve details for specific codes, and search_codes and search_icd11_codes perform keyword searches. The descriptions make it easy to differentiate between code retrieval vs. search vs. text processing functions.
All tools follow a consistent snake_case naming pattern with clear verb_noun structure: anonymize (verb only, but clear), code_diagnosis (noun_verb), get_code/get_icd11_code (verb_noun), and search_codes/search_icd11_codes (verb_noun). The naming is predictable and follows the same conventions throughout.
Six tools is well-scoped for this medical coding domain, covering core workflows: text anonymization, diagnosis extraction, code lookup (both ICD-10 and ICD-11), and code searching (both ICD-10 and ICD-11). Each tool earns its place without redundancy or obvious gaps.
The tool set provides complete coverage for medical coding workflows: starting with PHI anonymization of clinical text, extracting diagnoses from that text, searching for relevant codes, and retrieving detailed information about specific codes. Both major coding systems (ICD-10 and ICD-11) are supported consistently across lookup and search operations.