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run-rrm-layer-classifier

station__microgram__run-rrm-layer-classifier external (needs EXECUTION_BACKEND_URL) microgram pv-core Constructa Configa

Railway Reference Model (RRM) layer classifier. Given attributes of a system component, classify it into one of 6 RRM layers: Formation (L1), Way (L2), Traction (L3), Signaling (L4), Operations (L5), Enterprise (L6). Based on the principle that safety-critical systems decompose into layers with strict interface contracts, analogous to OSI for networking.

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	`microgram`
family	`mcp-tool-config`

Characteristics:

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

Input schema

converts_energy_to_motion booleanrequired — Input parameter: converts_energy_to_motion
failure_consequence stringrequired — Input parameter: failure_consequence
has_real_time_requirement booleanrequired — Input parameter: has_real_time_requirement
coordinates_multiple_entities booleanrequired — Input parameter: coordinates_multiple_entities
sets_strategy_or_policy booleanrequired — Input parameter: sets_strategy_or_policy
defines_physical_constraints booleanrequired — Input parameter: defines_physical_constraints
is_passive_substrate booleanrequired — Input parameter: is_passive_substrate
processes_safety_critical_state booleanrequired — Input parameter: processes_safety_critical_state

Example call

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

{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "station__microgram__run-rrm-layer-classifier",
    "arguments": {
      "converts_energy_to_motion": false,
      "failure_consequence": "",
      "has_real_time_requirement": false,
      "coordinates_multiple_entities": false,
      "sets_strategy_or_policy": false,
      "defines_physical_constraints": false,
      "is_passive_substrate": false,
      "processes_safety_critical_state": 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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