AI agents use stream_group_create 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.
This tool creates a new consumer group, which is a reversible write operation. It creates a resource in AWS Location Service infrastructure but does not permanently delete data (not Destructive), execute arbitrary code (not Execute), involve financial transactions (not Financial), or simply retrieve data (not Read).
From the tool's definition Tool description states 'Create consumer group' which is a data creation operation. The tool name 'stream_group_create' explicitly indicates creation of a new entity.
Documented attack patterns abuse exactly the kind of access stream_group_create 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 stream_group_create:
{
"version": "1",
"default": "deny",
"tools": {
"stream_group_create": {
"limits": [
{
"counter": "stream_group_create_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} stream_group_create 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 consumer group. 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 stream_group_create: 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.
stream_group_create 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 stream_group_create 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 stream_group_create. 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.
stream_group_create 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.