AI agents call get_query_status to retrieve information from Amazon Location Service MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Status retrieval operations are non-destructive information queries with no side effects. Given the empty description, confidence is reduced but the name itself is a reliable indicator of a Read category tool. Even in AWS Location Service context, checking query status does not create, modify, delete, or execute operations—it merely retrieves status information.
From the tool's definition Tool name 'get_query_status' indicates a status retrieval operation. The description is empty, but the naming convention strongly suggests a read-only query operation that checks the state of a previously submitted query without modifying any data.
Documented attack patterns abuse exactly the kind of access get_query_status gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Amazon Location Service MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_query_status:
{
"version": "1",
"default": "deny",
"tools": {
"get_query_status": {}
}
} get_query_status is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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get_query_status. It is categorised as a Read tool in the Amazon Location Service MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Amazon Location Service MCP Server MCP server in PolicyLayer and add a rule for get_query_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 Location Service MCP Server. Nothing to install.
get_query_status is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_query_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.
Set action: deny in the PolicyLayer policy for get_query_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.
get_query_status is provided by the Amazon Location Service MCP Server MCP server (awslabs.aws-location-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Amazon Location Service MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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805 Amazon Location Service MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.