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decompose-ksb

station__academy__decompose-ksb external (needs EXECUTION_BACKEND_URL) academy non-pv Constructa Configa

Decompose a learning topic into the KSB framework: Knowledge (facts, concepts, theories), Skills (practical abilities, techniques), Behaviors (attitudes, professional conduct). Returns 2-4 components per category with learning objectives, key points, examples, and assessment criteria. Foundation step for course generation.

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

topic stringrequired — Learning topic to decompose (e.g., 'Signal Detection in Pharmacovigilance')
domain string — Domain area (e.g., 'Pharmacovigilance', 'Regulatory Affairs')

Example call

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

{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "station__academy__decompose-ksb",
    "arguments": {
      "topic": ""
    }
  }
}

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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