The Task Log gives you a detailed record of every tool invocation made by your AI agent. Each time your agent uses a skill—whether looking up data, sending a file, collecting information, or escalating a conversation—it appears here as an individual log entry. This is your go-to view for understanding exactly what your agent is doing under the hood.Documentation Index
Fetch the complete documentation index at: https://semantiks.mintlify.app/llms.txt
Use this file to discover all available pages before exploring further.
What you’ll see
The Task Log page has three main sections:Status distribution chart
A pie chart showing the breakdown of tool invocations by execution status:- Success — the tool ran and returned a valid result
- Error — the tool failed to execute or returned an error
- Timeout — the tool exceeded the configured time limit
Daily activity chart
A bar chart showing the volume of tool invocations per day across the selected date range. Use this to spot spikes in tool usage or identify days with unusually high error rates.Invocations table
A detailed table with one row per tool invocation. Each row shows:- Tool name — which skill or tool was called. For custom tools, the tool’s title is displayed if one has been set; otherwise the tool’s internal name is shown. For predefined (builtin) tools, the predefined tool name is shown.
- Status — success, error, or timeout
- Timestamp — when the invocation occurred
- Request / Response — expand any row to inspect the exact input and output of the call
Filters
Use the filters at the top of the page to narrow down the log:- Date range — filter by a specific period (today, last 7 days, month-to-date, custom)
- Tools — filter by specific tools or skills. The dropdown lists both predefined and custom tools that had activity in the selected period. Each option shows the tool name followed by a type label (Builtin or Custom) so you can tell them apart at a glance.
- Status — filter by execution result (success, error, timeout)
Common use cases
- Debugging unexpected agent behavior — find exactly which tool call went wrong and what it returned
- Auditing tool usage — verify that your custom tools are being called with the right parameters
- Performance monitoring — spot tools that frequently time out and may need a higher timeout setting
- Validating new tool configurations — after setting up a new custom tool, confirm it runs successfully in the task log