- TRACE
- LOGIC
- FIX
- HUMAN
Short answer
How can I find out why my AI agent failed a task?
Your AI pulls execution traces to pinpoint the specific step, tool call, or logic branch that caused the error. You'll get a clear view of the workflow structure and the specific trace data needed to fix the issue.
Debugging outcomes
Where every issue lands.
The AI categorizes your debugging needs into these four outcomes.
TRACE
Pinpoint the failure
The AI pulls specific execution data to show you the exact moment a tool call returned an error or a loop started.
LOGIC
Map the workflow
Your agent examines the underlying workflow structure to see if the error came from a bad path or a missing step.
FIX
Identify the cause
The AI compares the intended workflow against the actual trace to tell you if the prompt or the tool input was the problem.
HUMAN
Manual intervention
If the trace shows a logic loop that the AI can't resolve, it flags the specific trace ID for you to inspect manually.
The workflow
What your AI does when a failure is reported.
The AI uses SketricGen to dig into the execution history and find the break.
Gather history
The AI looks for recent execution logs to find the relevant error event.
list_tracesInspect the error
The AI pulls the full details of a specific failed run to see the inputs and outputs.
get_traceAnalyze the path
The AI pulls the workflow definition to compare the intended logic against what actually happened.
get_workflowReport findings
The AI summarizes the trace data and identifies the specific tool or decision point that failed.
get_trace
Try it
Copy these to start.
Use these prompts to begin your debugging session.
Starting points
These are opening lines. Swap out the specific trace IDs or workflow names with your own data.
SketricGen Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_1oQD0BGOH8qoRrYb4Ucw7jvZh5NHJimdTtL2Lk2H/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — SketricGen capabilities are ready to use.
{
"mcpServers": {
"sketricgen-mcp": {
"url": "https://edge.vinkius.com/vk_preview_1oQD0BGOH8qoRrYb4Ucw7jvZh5NHJimdTtL2Lk2H/mcp"
}
}
}List the most recent traces so I can find the one that failed.
Get the details for trace trace_98765 and tell me why the tool call failed.
Show me the workflow for the 'Customer Support' agent and check if the logic is correct.
Look at the last failed trace and tell me which step in the workflow caused the error.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect SketricGen once, then ask.
Just link the MCP to your client. Your credentials stay encrypted, and you can start debugging immediately.
Connect SketricGen to your AIFAQ
How this task behaves.
- 01
Can the AI fix the error automatically?
No. The AI uses the tools to find and explain the error, but you must manually update your code or prompts to fix it.
- 02
Can the AI delete old traces to save space?
No. This MCP only has permissions to read traces and workflows. It cannot delete or modify any data.
- 03
How does the AI know which trace to look at?
You can tell it a specific trace ID, or it can use the list tool to find the most recent failures itself.
- 04
Does the AI see my actual tool inputs?
Yes. To debug effectively, the AI must read the trace data, which includes the inputs and outputs of your tool calls.
- 05
Can I use this to debug a workflow that hasn't run yet?
No. The tools require an existing trace or a defined workflow to pull data from.
More questions about SketricGen? See everything the SketricGen Connector can do
Connect SketricGen to Claude, Cursor, ChatGPT & more
