get-schedule

Read one schedule by its schedule_id. Needs the fabric:orchestrate.read grant.

curl -sS -X POST https://fabric.wexa.ai/mcp/$FABRIC_PROJECT_ID \
  -H "authorization: Bearer $FABRIC_API_KEY" \
  -H "Mcp-Session-Id: $MCP_SESSION_ID" \
  -H "content-type: application/json" -H "accept: application/json" \
  -d '{"jsonrpc":"2.0","id":3,"method":"tools/call","params":{"name":"get-schedule","arguments":{"schedule_id":"6ab194677566f41b5c28e30f"}}}'

{
  "content": [
    {
      "type": "text",
      "text": "{\"lifecycle_id\":\"qlc_000188\",\"result\":{\"schedule_id\":\"6ab194677566f41b5c28e30f\",\"agentflow_id\":\"6ab1945e7566f41b5c28e303\",\"goal\":\"Summarise yesterday's orders.\",\"frequency\":\"0 9 * * 1\",\"time_zone\":\"Asia/Kolkata\",\"type\":\"recurring\",\"status\":\"active\",\"run_count\":0}}"
    }
  ],
  "isError": false
}

curl -sS https://fabric.wexa.ai/v1/get-schedule \
  -H "authorization: Bearer $FABRIC_API_KEY" \
  -H "content-type: application/json" \
  -d '{"schedule_id":"6ab194677566f41b5c28e30f"}'

{
  "lifecycle_id": "qlc_000188",
  "result": {
    "schedule_id": "6ab194677566f41b5c28e30f",
    "agentflow_id": "6ab1945e7566f41b5c28e303",
    "goal": "Summarise yesterday's orders.",
    "frequency": "0 9 * * 1",
    "time_zone": "Asia/Kolkata",
    "type": "recurring",
    "status": "active",
    "run_count": 0
  }
}

import { Fabric } from '@wexa-fabric/sdk'

const fabric = new Fabric()
const result = await fabric.getSchedule({
  schedule_id: '6ab194677566f41b5c28e30f'
})

// result is the payload itself, with no `.result` to read
{
  schedule_id: '6ab194677566f41b5c28e30f',
  agentflow_id: '6ab1945e7566f41b5c28e303',
  goal: 'Summarise yesterday\'s orders.',
  frequency: '0 9 * * 1',
  time_zone: 'Asia/Kolkata',
  type: 'recurring',
  status: 'active',
  run_count: 0
}

from wexa import Fabric

fabric = Fabric()
out = fabric.get_schedule(
    schedule_id="6ab194677566f41b5c28e30f",
)

# out is the result, already unwrapped
{
    "schedule_id": "6ab194677566f41b5c28e30f",
    "agentflow_id": "6ab1945e7566f41b5c28e303",
    "goal": "Summarise yesterday's orders.",
    "frequency": "0 9 * * 1",
    "time_zone": "Asia/Kolkata",
    "type": "recurring",
    "status": "active",
    "run_count": 0
}

Parameters

Parameter	Type	Required	Notes
`schedule_id`	string	Required	Schedule id from `list-schedules` or `create-schedule`. A schedule in this project.

Show full response

A real response, captured from a live call to get-schedule:

{
  "lifecycle_id": "qlc_000188",
  "result": {
    "agentflow_id": "6ab1945e7566f41b5c28e303",
    "conclusion": null,
    "created_at": 1790022759.401271,
    "created_by": "6a79a770b6c128ccc24bfca7",
    "end_at": null,
    "frequency": "0 9 * * 1",
    "goal": "Summarise yesterday's orders.",
    "last_execution_id": null,
    "limit": null,
    "run_at": null,
    "run_count": 0,
    "schedule_id": "6ab194677566f41b5c28e30f",
    "status": "active",
    "time_zone": "Asia/Kolkata",
    "type": "recurring",
    "updated_at": null
  }
}

// the object you get back IS the result — there is no `.result` to read
{
  agentflow_id: '6ab1945e7566f41b5c28e303',
  conclusion: null,
  created_at: 1790022759.401271,
  created_by: '6a79a770b6c128ccc24bfca7',
  end_at: null,
  frequency: '0 9 * * 1',
  goal: 'Summarise yesterday\'s orders.',
  last_execution_id: null,
  limit: null,
  run_at: null,
  run_count: 0,
  schedule_id: '6ab194677566f41b5c28e30f',
  status: 'active',
  time_zone: 'Asia/Kolkata',
  type: 'recurring',
  updated_at: null
}

// The TS SDK names these camelCase — lifecycleId, traceId — where Python uses
// lifecycle_id and trace_id. Both are non-enumerable: readable, but omitted by
// Object.keys() and JSON.stringify(). `result.lifecycleId` here is undefined.
result.lifecycleId // 'qlc_000188'

# a dict subclass; `result` is already unwrapped
{
 "agentflow_id": "6ab1945e7566f41b5c28e303",
 "conclusion": None,
 "created_at": 1790022759.401271,
 "created_by": "6a79a770b6c128ccc24bfca7",
 "end_at": None,
 "frequency": "0 9 * * 1",
 "goal": "Summarise yesterday's orders.",
 "last_execution_id": None,
 "limit": None,
 "run_at": None,
 "run_count": 0,
 "schedule_id": "6ab194677566f41b5c28e30f",
 "status": "active",
 "time_zone": "Asia/Kolkata",
 "type": "recurring",
 "updated_at": None
}

out.lifecycle_id  # 'qlc_000188' — an attribute, not a key

More details

It returns the agent or process flow the schedule runs, its goal, its cron expression or single instant, its status, how many times it has run and last_execution_id, which get-execution takes unchanged.

Not marked consequential: it is audited lightly and the project's write gate never holds it.

Every tool call works the same way: How every tool call works.