get_resource_request_status

get_resource_request_status

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

What get_resource_request_status does on Amazon MQ MCP Server

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

Why get_resource_request_status needs a policy

The tool name indicates a read-only status check operation that retrieves the current state of a resource request without modifying or executing anything. The empty description reduces confidence, but the naming convention strongly suggests information retrieval with no side effects. Classified as Read with low severity due to typical low-blast-radius impact of status queries.

From the tool's definition Tool name 'get_resource_request_status' and function pattern suggest status querying operation. No description provided to confirm exact behavior.

Questions about get_resource_request_status

What does the get_resource_request_status tool do? +

get_resource_request_status. It is categorised as a Read tool in the Amazon MQ MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_resource_request_status? +

Register the Amazon MQ MCP Server MCP server in PolicyLayer and add a rule for get_resource_request_status: 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 get_resource_request_status? +

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

Can I rate-limit get_resource_request_status? +

Yes. Add a rate_limit block to the get_resource_request_status 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_resource_request_status completely? +

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

get_resource_request_status 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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