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FDA 510(k)s, PMAs, recalls & trials, linked: predicate search and review-time stats for AI agents.

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Status
Unhealthy
Uptime
0.0% over the last 24 hours
Last Tested
Transport
Streamable HTTP
URL
ChatGPT
–
Claude
–

TDQS

A3.8/5.0

Scored across 7 tools

Disambiguation4/5

Each tool has a clear primary purpose: AI list, predicate research, change feed, clearance detail, stats, recalls, and full-text search. The main overlap is search_records vs search_recalls and product_code_stats vs find_predicates, but their descriptions differentiate scope well enough.

Naming Consistency4/5

Five of seven tools follow a clean verb_noun pattern (find_predicates, get_changes, get_clearance, search_recalls, search_records). ai_devices and product_code_stats break the pattern but are still readable and not confusing.

Tool Count5/5

Seven tools is a well-scoped size for an FDA device data server. Each tool covers a distinct workflow without bloat, and the set is focused enough for agents to navigate.

Completeness4/5

The toolkit covers the main FDA device data workflows: clearance lookup, predicate research, recalls, review-time stats, AI device lists, and change monitoring. Missing dedicated trial or classification endpoints are minor gaps since search_records provides broad fallback coverage.

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