Job Logs

Immutable Catalog Entry

This descriptor comes from the active versioned Portal catalog.

READffmpeg.job_logs

• Contract tier: agent_ready
• Risk: read
• Catalog version: 2026-07-12.3
• Descriptor hash: 96bbc6af2ac20eeb82c2587f6c686a9eccbb62786671fb9756af7823ca51c683

Use this to read the bounded, sanitized log summary for a previously returned job ID when status alone is insufficient. It never returns request headers.

Request Body

{
  "jsonrpc": "2.0",
  "id": "ffmpeg-job-logs-example",
  "method": "tools/call",
  "params": {
    "name": "ffmpeg.job_logs",
    "arguments": {
      "job_id": "job_id_123"
    }
  }
}

Arguments Schema

{
  "type": "object",
  "required": [
    "job_id"
  ],
  "properties": {
    "job_id": {
      "type": "string",
      "description": "Stable processing job ID returned by an FFmpeg operation."
    }
  },
  "additionalProperties": false
}

Output Schema

{
  "type": "object",
  "required": [
    "job_id",
    "status"
  ],
  "properties": {
    "error": {
      "type": "string",
      "description": "Safe error summary when the job failed."
    },
    "job_id": {
      "type": "string",
      "description": "Requested job ID."
    },
    "status": {
      "type": "string",
      "description": "Provider job status."
    },
    "logs_short": {
      "type": "string",
      "description": "Bounded sanitized job log summary."
    },
    "last_log_line": {
      "type": "string",
      "description": "Last non-empty sanitized log line."
    }
  },
  "additionalProperties": false
}

Code Examples

cURL

curl -X POST 'https://portal.madpanda3d.com/api/mcp' \
  -H 'Authorization: Bearer mad_live_***' \
  -H 'Content-Type: application/json' \
  -d '{
  "jsonrpc": "2.0",
  "id": "ffmpeg-job-logs-example",
  "method": "tools/call",
  "params": {
    "name": "ffmpeg.job_logs",
    "arguments": {
      "job_id": "job_id_123"
    }
  }
}'

Node.js

const response = await fetch('https://portal.madpanda3d.com/api/mcp', {
  method: 'POST',
  headers: {
    Authorization: 'Bearer mad_live_***',
    'Content-Type': 'application/json',
  },
  body: JSON.stringify({
  "jsonrpc": "2.0",
  "id": "ffmpeg-job-logs-example",
  "method": "tools/call",
  "params": {
    "name": "ffmpeg.job_logs",
    "arguments": {
      "job_id": "job_id_123"
    }
  }
}),
});
const data = await response.json();
console.log(data);

Python

import requests

url = 'https://portal.madpanda3d.com/api/mcp'
headers = {
    'Authorization': 'Bearer mad_live_***',
    'Content-Type': 'application/json',
}
payload = {
  "jsonrpc": "2.0",
  "id": "ffmpeg-job-logs-example",
  "method": "tools/call",
  "params": {
    "name": "ffmpeg.job_logs",
    "arguments": {
      "job_id": "job_id_123"
    }
  }
}
response = requests.post(url, headers=headers, json=payload, timeout=60)
print(response.json())

Example Responses

200 Success

{
  "ok": true,
  "message": "Tool ffmpeg.job_logs executed successfully.",
  "note": "Response shape varies by MCP tool. Inspect live responses for exact fields."
}

502 Upstream Error

{
  "ok": false,
  "classification": "upstream_http_error",
  "message": "Upstream MCP returned a non-success status."
}