AI agents use create_template 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 verb 'create' places this in the Write category—it creates a new resource reversibly. High severity is assigned because template creation in AWS Location Service could affect infrastructure configuration, geofences, or routing rules that impact multiple downstream operations.
From the tool's definition Tool name is 'create_template' which indicates creation of a new resource. The description is empty, providing no additional context about the specific resource being created or the scope of this operation.
Documented attack patterns abuse exactly the kind of access create_template 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 create_template:
{
"version": "1",
"default": "deny",
"tools": {
"create_template": {
"limits": [
{
"counter": "create_template_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} create_template 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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create_template. 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 create_template: 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.
create_template 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 create_template 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 create_template. 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.
create_template 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.