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run-rrm-monitoring-level

station__microgram__run-rrm-monitoring-level external (needs EXECUTION_BACKEND_URL) microgram pv-core Constructa Configa

Railway Reference Model monitoring level classifier. Maps a monitoring system to ETCS-equivalent levels: L1 (spot/periodic), L2 (continuous/streaming), L3 (moving block/predictive). Higher levels subsume lower. Level determines capacity and detection latency.

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

update_frequency_per_hour integerrequired — Input parameter: update_frequency_per_hour
is_predictive booleanrequired — Input parameter: is_predictive
detection_latency_hours integerrequired — Input parameter: detection_latency_hours
has_position_reporting booleanrequired — Input parameter: has_position_reporting
is_continuous booleanrequired — Input parameter: is_continuous

Example call

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

{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "station__microgram__run-rrm-monitoring-level",
    "arguments": {
      "update_frequency_per_hour": 0,
      "is_predictive": false,
      "detection_latency_hours": 0,
      "has_position_reporting": false,
      "is_continuous": 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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