run-vehicle-full-cascade
Run the complete vehicle cascade: bioavailability correction → PRR signal detection → causality assessment → Naranjo scoring → regulatory action → organ health signal. 6-step fuel-to-exhaust-to-dashboard pipeline. Returns correction_factor, signal verdict, regulatory action, AND engine health status.
Taxonomy
Linnaean classification joined from the algovigilance taxonomy index via the parent config's rank.
| Rank | Value |
|---|---|
| domain | Substrata |
| kingdom | Constructa |
| phylum | Configa |
| class | station-config |
| order | microgram |
| family | mcp-tool-config |
Characteristics:
- substrate:
config - domain:
pv - lifecycle:
continuous - authority:
read - compounding:
producer - io:
agent-request→tool-response
Input schema
observed_countinteger — Number of adverse event reports observed in databasesource_typestring — Report source: spontaneous, clinical_trial, literature, registryprrnumberrequired — Proportional Reporting Ratio valuenaranjo_scoreintegerrequired — Naranjo ADR probability score (0-13)is_seriousboolean — Whether the adverse event meets ICH E2A seriousness criteriarationumber — Engine health ratio (violations/fleet_size, 0 = healthy)
Example call
POST /api/mcp
Content-Type: application/json
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "station__microgram__run-vehicle-full-cascade",
"arguments": {
"prr": 0,
"naranjo_score": 0
}
}
}How to invoke from a client
From any MCP-aware client, add https://algovigilance.com/api/mcp as an MCP server, then call this tool by name. From a raw HTTP client, send the JSON-RPC body above to /api/mcp.
Agent-friendly formats
Working inside an AI assistant? Use the Copy for AI button at the top of this page (or view the raw Markdown) to paste a clean, token-budgeted version of this tool's contract into your conversation.
Related
- All tools (3062 live)
- /api/mcp — endpoint
- /AGENTS.md — agent guide
- /tools/microgram__run-vehicle-full-cascade/raw.md — this page's Markdown twin