List all currently active workflows.
AI agents call list_active_workflows 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.
This tool retrieves or queries the state of active workflows without creating, modifying, deleting, or executing any operations. It is a read-only informational operation with minimal blast radius if misused by an AI agent, as it only exposes workflow metadata that may already be visible through the AWS console.
From the tool's definition Tool name 'list_active_workflows' and description 'List all currently active workflows' indicate a query/retrieval operation with no modification of data.
Documented attack patterns abuse exactly the kind of access list_active_workflows 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 list_active_workflows:
{
"version": "1",
"default": "deny",
"tools": {
"list_active_workflows": {}
}
} list_active_workflows is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List all currently active workflows. 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 list_active_workflows: 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.
list_active_workflows 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 list_active_workflows 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 list_active_workflows. 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.
list_active_workflows 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.