> For the complete documentation index, see [llms.txt](https://docs.tonic.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.tonic.ai/app/workspace/jobs.md).

# Viewing workspace jobs and job details

You can view a list of jobs for the workspace, and view details for individual jobs. From the job details, you can download job information.

You can also use the Structural Agent to get information about jobs and diagnose failed jobs. For example:

`How many data generation jobs have run for this workspace?`

`How many columns were de-identified during the most recent successful data generation?`

`When was the most recent sensitivity scan for this workspace? How many sensitive columns did it identify?`

`Why did the most recent data generation job fail? What's the solution to enable the job to complete successfully?`

<table data-view="cards"><thead><tr><th></th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td><strong>Job types and statuses</strong><br><br>Lists the types of jobs and the possible job statuses.</td><td><a href="/app/workspace/jobs/job-types-and-statuses.md">Job types and statuses</a></td></tr><tr><td><strong>View the job list</strong><br><br>Display the Jobs view and filter the job list by type and status.</td><td><a href="/app/workspace/jobs/jobs-view-list.md">Viewing the list of jobs</a></td></tr><tr><td><strong>View job details</strong><br><br>Display the details  for a job.</td><td><a href="/app/workspace/jobs/job-view-details.md">Viewing details for a selected job</a></td></tr><tr><td><strong>Use AI for job troubleshooting</strong><br><br>Use an LLM to analyze failed jobs and provide suggested next steps to resolve the issues.</td><td><a href="/app/workspace/jobs/jobs-ai-troubleshooting.md">Using AI to troubleshoot failed jobs</a></td></tr><tr><td><strong>Cancel a job</strong><br><br>Cancel a queued or running job.</td><td><a href="/app/workspace/jobs/jobs-cancel.md">Canceling a job</a></td></tr><tr><td><strong>Download job information</strong><br><br>Download logs, the Privacy Report, and other job information.</td><td><a href="/app/workspace/jobs/jobs-download-info.md">Downloading job information</a></td></tr><tr><td><strong>View a data generation Gantt flow</strong><br><br>Display a Gantt chart of the flow for a data generation job.</td><td><a href="/app/workspace/jobs/jobs-data-gen-gantt.md">Viewing a Gantt chart of a data generation job flow</a></td></tr></tbody></table>


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# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.tonic.ai/app/workspace/jobs.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.