Skip to main content
Glama

update_work_queue

Modify a Prefect work queue's settings including name, description, paused status, and concurrency limit to control workflow execution behavior.

Instructions

Update a work queue.

Args: work_queue_id: The work queue UUID name: New name description: New description is_paused: New paused status concurrency_limit: New concurrency limit

Returns: Details of the updated work queue

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
concurrency_limitNo
descriptionNo
is_pausedNo
nameNo
work_queue_idYes

Implementation Reference

  • The main handler implementation for the MCP tool 'update_work_queue'. It is decorated with @mcp.tool for registration and handles updating Prefect work queue attributes via the Prefect client, returning the updated queue details as text content.
    @mcp.tool async def update_work_queue( work_queue_id: str, name: Optional[str] = None, description: Optional[str] = None, is_paused: Optional[bool] = None, concurrency_limit: Optional[int] = None, ) -> List[Union[types.TextContent, types.ImageContent, types.EmbeddedResource]]: """ Update a work queue. Args: work_queue_id: The work queue UUID name: New name description: New description is_paused: New paused status concurrency_limit: New concurrency limit Returns: Details of the updated work queue """ async with get_client() as client: # Prepare update data update_data = {} if name is not None: update_data["name"] = name if description is not None: update_data["description"] = description if is_paused is not None: update_data["is_paused"] = is_paused if concurrency_limit is not None: update_data["concurrency_limit"] = concurrency_limit await client.update_work_queue( id=UUID(work_queue_id), **update_data ) # Read the updated work queue to return its details updated_work_queue = await client.read_work_queue(UUID(work_queue_id)) return [types.TextContent(type="text", text=str(updated_work_queue.model_dump()))]

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/allen-munsch/mcp-prefect'

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