run-eig-priority-ranker
EIG Priority Ranker (ALG-2025-012): ranks which drug-event pair to investigate next. EIG(c) = σ⁻¹ · |θ - 0.5| · Σw(1-σ). Three factors: uncertainty (σ⁻¹ — higher uncertainty = more to learn), extremity (|θ - 0.5| — how far from 50/50 = how decisive), propagation (Σw(1-σ) — how many adjacent drugs benefit from this investigation).
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
propagation_countintegerrequired — Input parameter: propagation_countuncertainty_levelstringrequired — Input parameter: uncertainty_levelextremity_levelstringrequired — Input parameter: extremity_level
Example call
POST /api/mcp
Content-Type: application/json
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "station__microgram__run-eig-priority-ranker",
"arguments": {
"propagation_count": 0,
"uncertainty_level": "",
"extremity_level": ""
}
}
}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
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Related
- All tools (3062 live)
- /api/mcp — endpoint
- /AGENTS.md — agent guide
- /tools/microgram__run-eig-priority-ranker/raw.md — this page's Markdown twin