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should_hide_tools

should_hide_tools(
    messages: list[dict[str, Any]],
    tools: list[dict[str, Any]],
    hide_tools_param: str
) -> bool

Determines if tools should be hidden. This function is used to hide tools when they have been run, minimising the chance of the LLM choosing them when they shouldn’t.
Parameters:
messages (List[Dict[str, Any]]): List of messages tools (List[Dict[str, Any]]): List of tools hide_tools_param (str): “hide_tools” parameter value. Can be “if_all_run” (hide tools if all tools have been run), “if_any_run” (hide tools if any of the tools have been run), “never” (never hide tools). Default is “never”.
Returns:
bool: Indicates whether the tools should be excluded from the response create request

Example Usage:

    # Validating a numerical parameter within specific bounds
    messages = params.get("messages", [])
    tools = params.get("tools", None)
    hide_tools = should_hide_tools(messages, tools, params["hide_tools"])

<b>Parameters:</b>
| Name | Description |
|--|--|
| `messages` | **Type:** list[dict[str, typing.Any]] |
| `tools` | **Type:** list[dict[str, typing.Any]] |
| `hide_tools_param` | **Type:** str |

<b>Returns:</b>
| Type | Description |
|--|--|
| bool | bool: Indicates whether the tools should be excluded from the response create request Example Usage: ```python # Validating a numerical parameter within specific bounds messages = params.get("messages", []) tools = params.get("tools", None) hide_tools = should_hide_tools(messages, tools, params["hide_tools"]) |

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FormatterProtocolvalidate_parameter