anandppatil.github.io

{
  "name": "list_incidents",
  "kind": "answer",
  "impl": "imperative",
  "description": "List the incidents currently available in IncidentLens with severity, status, service and start time. Use this to discover incident IDs before investigating.",
  "inputSchema": {
    "type": "object",
    "properties": {},
    "additionalProperties": false
  },
  "page": "/incidentlens-webmcp/"
}

{
  "name": "get_incident",
  "kind": "answer",
  "impl": "imperative",
  "description": "Get core context for one incident, including title, severity, status, affected service, start time and summary.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "incidentId": {
        "type": "string",
        "description": "Incident identifier, for example INC-102"
      }
    },
    "required": [
      "incidentId"
    ],
    "additionalProperties": false
  },
  "page": "/incidentlens-webmcp/"
}

{
  "name": "search_logs",
  "kind": "answer",
  "impl": "imperative",
  "description": "Search application logs associated with an incident. Use focused terms such as timeout, database, 500, 503, pool, or a service name to find supporting evidence.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "incidentId": {
        "type": "string",
        "description": "Incident identifier, for example INC-102"
      },
      "query": {
        "type": "string",
        "description": "Case-insensitive text query. Use an empty string only when all available logs are needed."
      },
      "limit": {
        "type": "integer",
        "minimum": 1,
        "maximum": 50,
        "default": 20,
        "description": "Maximum number of log entries to return"
      }
    },
    "required": [
      "incidentId",
      "query"
    ],
    "additionalProperties": false
  },
  "page": "/incidentlens-webmcp/"
}

{
  "name": "get_metrics",
  "kind": "answer",
  "impl": "imperative",
  "description": "Get time-series telemetry for an incident. Available metrics are latency_ms, error_rate_pct, db_pool_used, and cpu_pct. Omit metric to retrieve all four for correlation.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "incidentId": {
        "type": "string",
        "description": "Incident identifier, for example INC-102"
      },
      "metric": {
        "type": "string",
        "enum": [
          "latency_ms",
          "error_rate_pct",
          "db_pool_used",
          "cpu_pct"
        ],
        "description": "Optional single metric to retrieve. Omit to retrieve all available incident metrics."
      }
    },
    "required": [
      "incidentId"
    ],
    "additionalProperties": false
  },
  "page": "/incidentlens-webmcp/"
}

{
  "name": "get_recent_deployments",
  "kind": "answer",
  "impl": "imperative",
  "description": "Get recent deployments for the service affected by an incident. Use this to determine whether a code or configuration change occurred near incident onset.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "incidentId": {
        "type": "string",
        "description": "Incident identifier, for example INC-102"
      }
    },
    "required": [
      "incidentId"
    ],
    "additionalProperties": false
  },
  "page": "/incidentlens-webmcp/"
}

{
  "name": "analyze_incident",
  "kind": "answer",
  "impl": "imperative",
  "description": "Correlate the evidence already modeled in IncidentLens for an incident and return the most likely root cause, confidence, supporting evidence, and a recommendation. This tool is read-only and never executes remediation.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "incidentId": {
        "type": "string",
        "description": "Incident identifier, for example INC-102"
      }
    },
    "required": [
      "incidentId"
    ],
    "additionalProperties": false
  },
  "page": "/incidentlens-webmcp/"
}