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screen

station__td-screen__screen external (needs EXECUTION_BACKEND_URL) td-screen non-pv Constructa Configa

Pre-screen a patient for tardive dyskinesia risk. Returns irreversibility score (0-1), risk category, recovery capacity, and clinical recommendation based on drug class, exposure duration, age, dose, and prior episodes.

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	`td`
family	`mcp-tool-config`

Characteristics:

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

Input schema

duration_months numberrequired — Duration of antipsychotic/dopaminergic exposure in months
drug_class stringrequired — Drug class: typical_high_potency, typical_low_potency, atypical, dopaminergic, antiemetic, other
age numberrequired — Patient age in years
dose_ratio number — Dose relative to standard (1.0 = standard dose, 2.0 = double)
prior_episodes number — Number of prior reversible dyskinesia episodes

Example call

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

{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "station__td-screen__screen",
    "arguments": {
      "duration_months": 0,
      "drug_class": "",
      "age": 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

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/api/mcp — endpoint
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/tools/td-screen__screen/raw.md — this page's Markdown twin