get_scheduled_tasks

Get information about scheduled tasks in the queue.

Server Celery MCP joeyrubas/celery-mcp
Category Read
Risk class Low
Parameters 00 required

What get_scheduled_tasks does on Celery MCP

AI agents call get_scheduled_tasks to retrieve information from Celery MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why get_scheduled_tasks needs a policy

This tool retrieves and queries scheduled task information from Celery's queue without modifying, executing, or deleting any tasks. It is a pure read operation that returns data about the state of scheduled jobs. No changes are made to the system, no code is executed, and no data is destructively altered.

From the tool's definition Tool name 'get_scheduled_tasks' and description 'Get information about scheduled tasks in the queue' indicate a retrieval operation with no side effects.

Questions about get_scheduled_tasks

What does the get_scheduled_tasks tool do? +

Get information about scheduled tasks in the queue. It is categorised as a Read tool in the Celery MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_scheduled_tasks? +

Register the Celery MCP server in PolicyLayer and add a rule for get_scheduled_tasks: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Celery MCP. Nothing to install.

What risk level is get_scheduled_tasks? +

get_scheduled_tasks is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_scheduled_tasks? +

Yes. Add a rate_limit block to the get_scheduled_tasks rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block get_scheduled_tasks completely? +

Set action: deny in the PolicyLayer policy for get_scheduled_tasks. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides get_scheduled_tasks? +

get_scheduled_tasks is provided by the Celery MCP server (joeyrubas/celery-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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