Skip to main content
Glama

submit_temp_no_site_task

Submit temporary cleaning tasks for S-line robots using map and area data without requiring site information.

Instructions

Submits a temporary task without site information for S-line robots.

Args: task_data: Task data including map and area information. Returns: A dictionary containing the task submission result.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
task_dataYes

Implementation Reference

  • MCP tool handler registered with @mcp.tool(). Delegates to GausiumMCP.submit_temp_no_site_task.
    @mcp.tool() async def submit_temp_no_site_task(task_data: dict): """Submits a temporary task without site information for S-line robots. Args: task_data: Task data including map and area information. Returns: A dictionary containing the task submission result. """ return await mcp.submit_temp_no_site_task(task_data=task_data)
  • Core implementation in GausiumMCP class. Calls GausiumAPIClient.call_endpoint to submit task data to the 'submit_temp_no_site_task' API endpoint.
    async def submit_temp_no_site_task( self, task_data: Dict[str, Any] ) -> Dict[str, Any]: """ S线无站点临时任务下发。 Args: task_data: 任务数据,包含地图、区域等信息 Returns: 任务下发结果 Raises: ValueError: 任务数据无效 httpx.HTTPStatusError: API调用错误 httpx.RequestError: 网络问题 """ if not task_data: raise ValueError("Task data cannot be empty") async with GausiumAPIClient() as client: return await client.call_endpoint( 'submit_temp_no_site_task', json_data=task_data )
  • API endpoint schema/definition used by the client, specifying path '/v1alpha1/tasks/temporary/no-site', POST method.
    'submit_temp_no_site_task': APIEndpoint( name="submit_temp_no_site_task", path="tasks/temporary/no-site", method=HTTPMethod.POST, version=APIVersion.V1_ALPHA1, description="S线无站点临时任务下发"
  • Usage in S-line no-site task workflow as part of TaskExecutionEngine.execute_s_line_no_site_task.
    task_result = await client.call_endpoint( 'submit_temp_no_site_task', json_data=task_data )

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/cfrs2005/mcp-gs-robot'

If you have feedback or need assistance with the MCP directory API, please join our Discord server