run-smm-fatal-screen
First gate in SMM chain. Detects fatal violations and applies study-type-specific multipliers. Empirical fatal = FATAL_ZERO band (0.0 multiplier). Pre-empirical fatal = FATAL_FLOOR band (0.30 multiplier). No fatal = CLEAN. If study_type is null with fatal, defaults to pre-empirical path (conservative).
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
study_typestringrequired — Input parameter: study_typehas_fatal_violationbooleanrequired — Input parameter: has_fatal_violation
Example call
POST /api/mcp
Content-Type: application/json
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "station__microgram__run-smm-fatal-screen",
"arguments": {
"study_type": "",
"has_fatal_violation": false
}
}
}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-smm-fatal-screen/raw.md — this page's Markdown twin