> ## Documentation Index
> Fetch the complete documentation index at: https://praison.ai/docs/llms.txt
> Use this file to discover all available pages before exploring further.
# Display Tool Call • AI Agent SDK
> display_tool_call: Display tool call information in PraisonAI's unique timeline format.
# display\_tool\_call
Function
> This function is defined in the [**main**](../modules/main) module.
Display tool call information in PraisonAI's unique timeline format.
Uses ▸ prefix, inline timing \[X.Xs], and status icons ✓/✗ for a clean,
scannable tool activity display.
```mermaid theme={"theme":{"light":"vitesse-light","dark":"vitesse-dark"}}
%%{init: {'theme': 'base', 'themeVariables': { 'primaryColor': '#8B0000', 'primaryTextColor': '#fff', 'primaryBorderColor': '#710101', 'lineColor': '#189AB4', 'secondaryColor': '#189AB4', 'tertiaryColor': '#fff' }}}%%
graph LR
agent["Agent"] -- "uses" --> tool["Tool: display_tool_call"]
tool -- "returns" --> result["Result"]
style tool fill:#189AB4,color:#fff
style agent fill:#8B0000,color:#fff
style result fill:#8B0000,color:#fff
```
## Signature
```python theme={"theme":{"light":"vitesse-light","dark":"vitesse-dark"}}
def display_tool_call(message: str, console: Any, tool_name: str, tool_input: dict, tool_output: str, elapsed_time: float, success: bool) -> Any
```
## Parameters
The tool call message (legacy format)
Rich console for output
Name of the tool being called
Input arguments to the tool
Output from the tool (if available)
Time taken for tool execution in seconds
Whether the tool call succeeded
### Returns
The result of the operation.
## Uses
* `logging.debug`
* `execute_sync_callback`
## Source
`praisonaiagents/main.py` at line 325
***
## Related Documentation