AI agents use gateway_update to create or update resources in Amazon Location Service MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Amazon Location Service MCP Server environment.
The name implies a write/update operation on a gateway resource (likely an AWS Location Service data source or map gateway), which would modify existing configuration reversibly. However, the empty description significantly lowers confidence. Update operations are categorized as Write. Severity is medium given that misconfiguring a gateway could impact dependent services.
From the tool's definition Tool name 'gateway_update' suggests updating a gateway resource; description is empty and uninformative.
Documented attack patterns abuse exactly the kind of access gateway_update 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 gateway_update:
{
"version": "1",
"default": "deny",
"tools": {
"gateway_update": {
"limits": [
{
"counter": "gateway_update_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} gateway_update stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
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gateway_update. It is categorised as a Write tool in the Amazon Location Service MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Amazon Location Service MCP Server MCP server in PolicyLayer and add a rule for gateway_update: 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.
gateway_update is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the gateway_update 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 gateway_update. 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.
gateway_update 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.