# Generated by API Evangelist (build-phrasing.py). Our phrasing, not observed demand.
overlay: 1.0.0
info:
  title: API Evangelist conversational phrasing for Monte Carlo GraphQL API
  version: 1.0.0
extends: openapi/monte-carlo-graph-ql-api-openapi.yml
actions:
- target: $.info
  update:
    x-apievangelist-phrasing:
      method: generated
      generated: '2026-10-01'
      generator: build-phrasing.py
      label: Generated by API Evangelist
      operations: 1
- target: $.paths['/graphql'].post
  update:
    x-apievangelist-phrasing:
      intent: Run a GraphQL query or mutation against Monte Carlo
      effect: write
      questions:
      - How do I pull my data incidents and monitors out of Monte Carlo programmatically?
      - Can I create or update a data monitor through the API instead of the UI?
      - Which GraphQL operation fetches the tables Monte Carlo is observing?
      - Is there a way to pass variables and pick a named operation in one GraphQL request?
      instructions:
      - text: 'Run this GraphQL query against Monte Carlo: {query}'
        slots:
          query: requestBody.query
      - text: Execute {query} with variables {variables} to fetch my recent data incidents.
        slots:
          query: requestBody.query
          variables: requestBody.variables
      - text: Send the GraphQL document {query} and run only the operation named {operationName}.
        slots:
          query: requestBody.query
          operationName: requestBody.operationName
      - text: Use the createOrUpdateMonitor mutation {query} to set up or change a monitor.
        slots:
          query: requestBody.query
      method: generated
      generated: '2026-10-01'