AI agents call get_metrics 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.
The tool name 'get_metrics' clearly denotes retrieval of metric data without modification. Despite the empty description reducing confidence slightly, the semantic meaning and context of an AWS monitoring tool strongly indicate this is a Read operation. No side effects, no data modification, no code execution implied. Severity is low as metric retrieval poses minimal risk even if misused.
From the tool's definition Tool name 'get_metrics' indicates data retrieval. Description is empty, limiting certainty. Sibling tools like 'aggregate' and other analytical functions on this AWS Location Service server suggest read-only monitoring/observability operations.
Documented attack patterns abuse exactly the kind of access get_metrics 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_metrics:
{
"version": "1",
"default": "deny",
"tools": {
"get_metrics": {}
}
} get_metrics is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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get_metrics. 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_metrics: 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_metrics 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_metrics 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_metrics. 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_metrics 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.