Get information about a specific data store.
AI agents call get_datastore to retrieve information from AWS without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves or queries information about a datastore without creating, modifying, or deleting anything. It has no side effects beyond returning existing data. The sibling tools include write operations (append_rows_to_table, attach_group_policy) and destructive actions (implied by audit and analyze functions), but get_datastore itself is purely informational.
From the tool's definition Tool name 'get_datastore' and description 'Get information about a specific data store' indicate a retrieval operation with no modification or deletion. The verb 'get' is a classic read pattern.
Documented attack patterns abuse exactly the kind of access get_datastore gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and AWS, and nothing reaches the server without passing your rules. This is the rule we recommend for get_datastore:
{
"version": "1",
"default": "deny",
"tools": {
"get_datastore": {}
}
} get_datastore is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get information about a specific data store. It is categorised as a Read tool in the AWS MCP Server, which means it retrieves data without modifying state.
Register the AWS MCP server in PolicyLayer and add a rule for get_datastore: 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 AWS. Nothing to install.
get_datastore 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_datastore 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_datastore. 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_datastore is provided by the AWS MCP server (@awslabs/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from AWS, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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300 AWS tools catalogued and risk-classified — across an index of 43,000+ MCP servers.