Get Valkey server information and statistics.
AI agents call info 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.
This tool retrieves information and statistics from a Valkey server without modifying, executing code, or deleting data. It is a straightforward read operation that queries server state. The low severity reflects minimal blast radius—an AI agent misusing this tool would at worst gather redundant server metadata without causing harm.
From the tool's definition Tool name is 'info' and description states 'Get Valkey server information and statistics.' The verb 'Get' and the passive nature of retrieving server metadata indicates a read-only operation with no side effects.
Documented attack patterns abuse exactly the kind of access info 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 info:
{
"version": "1",
"default": "deny",
"tools": {
"info": {}
}
} info is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get Valkey server information and statistics. 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 info: 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.
info 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 info 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 info. 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.
info 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.
Free to start. No card required.
805 Amazon Location Service MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.