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assess-pv-readiness

station__academy__assess-pv-readiness external (needs EXECUTION_BACKEND_URL) academy non-pv Constructa Configa

Assess an individual's pharmacovigilance readiness across PDC v4.1 domains. Maps self-reported experience to EPA competency levels (1-5) and recommends learning pathways.

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	`course`
family	`mcp-tool-config`

Characteristics:

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

Input schema

experience_years numberrequired — Years of PV experience
current_role string — Current job title/role
domains_familiar string — Comma-separated PV domains familiar with (e.g., 'signal detection, case processing')

Example call

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

{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "station__academy__assess-pv-readiness",
    "arguments": {
      "experience_years": 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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