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feature-importance

station__dtree__feature-importance external (needs EXECUTION_BACKEND_URL) dtree non-pv Constructa Configa

Get feature importance scores from a fitted tree. Returns weighted impurity decrease per feature. Use when understanding which features drive predictions.

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	`dtree`
family	`mcp-tool-config`

Characteristics:

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

Input schema

tree_json stringrequired — Serialized tree from train output

Example call

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

{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "station__dtree__feature-importance",
    "arguments": {
      "tree_json": ""
    }
  }
}

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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All tools (3059 live)
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