get_resource_request_status

get_resource_request_status

Server AWS IoT SiteWise MCP Server awslabs.aws-iot-sitewise-mcp-server
Category Read
Risk class Low
Parameters 00 required

What get_resource_request_status does on AWS IoT SiteWise MCP Server

AI agents call get_resource_request_status to retrieve information from AWS IoT SiteWise 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

Despite the empty description, the naming convention strongly suggests this tool retrieves or queries the status of a resource request without modifying, deleting, or executing operations. This is consistent with Read category tools. Confidence is moderate (0.7) rather than high because the absence of a description introduces some ambiguity about actual behavior.

From the tool's definition Tool name 'get_resource_request_status' indicates a status retrieval operation with no side effects. The verb 'get' and noun 'status' suggest querying existing data.

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 AWS IoT SiteWise 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 AWS IoT SiteWise 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 AWS IoT SiteWise 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 AWS IoT SiteWise MCP Server MCP server (awslabs.aws-iot-sitewise-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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