Prepend multiple values to list.
AI agents use list_prepend_multiple to create or update resources in AWS IoT SiteWise MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your AWS IoT SiteWise MCP Server environment.
The tool modifies an existing list by prepending multiple values to it. This is a reversible write operation (values can be removed), so it falls under Write rather than Destructive. Severity is medium because it modifies data structures but changes can be undone.
From the tool's definition Prepend multiple values to list
Attacks that exploit this kind of access
Prepend multiple values to list. It is categorised as a Write tool in the AWS IoT SiteWise MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the AWS IoT SiteWise MCP Server MCP server in PolicyLayer and add a rule for list_prepend_multiple: 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 IoT SiteWise MCP Server. Nothing to install.
list_prepend_multiple 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 list_prepend_multiple 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_prepend_multiple. 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_prepend_multiple is provided by the AWS IoT SiteWise MCP Server MCP server (awslabs.aws-iot-sitewise-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.