schedule_start_application

schedule_start_application

Server Amazon MQ MCP Server awslabs.amazon-mq-mcp-server
Category Execute
Risk class High
Parameters 00 required

What schedule_start_application does on Amazon MQ MCP Server

AI agents invoke schedule_start_application to trigger actions in Amazon MQ MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

Why schedule_start_application needs a policy

The tool name implies triggering an execution or operational action (starting an application/broker on a schedule). This falls under Execute as it would trigger an external operation. However, the empty description significantly lowers confidence. Severity is high because starting broker applications in Amazon MQ could affect production messaging infrastructure.

From the tool's definition Tool name 'schedule_start_application' suggests scheduling the start of an application or broker; description is empty and uninformative.

Questions about schedule_start_application

What does the schedule_start_application tool do? +

schedule_start_application. It is categorised as a Execute tool in the Amazon MQ MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on schedule_start_application? +

Register the Amazon MQ MCP Server MCP server in PolicyLayer and add a rule for schedule_start_application: 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 Amazon MQ MCP Server. Nothing to install.

What risk level is schedule_start_application? +

schedule_start_application is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit schedule_start_application? +

Yes. Add a rate_limit block to the schedule_start_application 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 schedule_start_application completely? +

Set action: deny in the PolicyLayer policy for schedule_start_application. 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 schedule_start_application? +

schedule_start_application is provided by the Amazon MQ MCP Server MCP server (awslabs.amazon-mq-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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