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assess-naranjo-causality

station__calculate__assess-naranjo-causality external (needs EXECUTION_BACKEND_URL) calculate non-pv Constructa Configa

Compute Naranjo adverse drug reaction probability score (0-13). Categories: Definite (>=9), Probable (5-8), Possible (1-4), Doubtful (<=0).

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	`calculation`
family	`mcp-tool-config`

Characteristics:

substrate: config
domain: pv
lifecycle: continuous
authority: read
compounding: producer
io: agent-request → tool-response

Input schema

previous_reports booleanrequired — Are there previous conclusive reports on this reaction?
after_drug booleanrequired — Did the adverse event appear after the suspected drug was administered?
improved_on_withdrawal stringrequired — Did the reaction improve when the drug was discontinued? (yes/no/not_withdrawn)
reappeared_on_rechallenge stringrequired — Did the reaction reappear on rechallenge? (yes/no/not_done)
alternative_causes booleanrequired — Are there alternative causes that could have caused the reaction?
placebo_reaction stringrequired — Did the reaction appear when placebo was given? (yes/no/not_done)
drug_detected stringrequired — Was the drug detected in blood/fluids in toxic concentrations? (yes/no/not_done)
dose_related stringrequired — Was the reaction more severe with higher dose or less severe with lower dose? (yes/no/not_done)
previous_exposure booleanrequired — Did the patient have a similar reaction to the same or similar drugs previously?
objective_evidence booleanrequired — Was the adverse event confirmed by objective evidence?

Example call

POST /api/mcp
Content-Type: application/json

{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "station__calculate__assess-naranjo-causality",
    "arguments": {
      "previous_reports": false,
      "after_drug": false,
      "improved_on_withdrawal": "",
      "reappeared_on_rechallenge": "",
      "alternative_causes": false,
      "placebo_reaction": "",
      "drug_detected": "",
      "dose_related": "",
      "previous_exposure": false,
      "objective_evidence": 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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