AI agents call list_sandbox_ids to retrieve information from E2b without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves metadata about active sandboxes (IDs and statistics) without modifying, executing code, or destructively altering any state. It is informational only, fitting the Read category with low severity since exposure of this information alone does not enable direct harm without a second action.
From the tool's definition Tool name is 'list_sandbox_ids' and description states 'List all active sandbox IDs and statistics' — purely a retrieval/query operation with no side effects.
Attacks that exploit this kind of access
List all active sandbox IDs and statistics. It is categorised as a Read tool in the E2b MCP Server, which means it retrieves data without modifying state.
Register the E2b MCP server in PolicyLayer and add a rule for list_sandbox_ids: 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 E2b. Nothing to install.
list_sandbox_ids 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_sandbox_ids 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_sandbox_ids. 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_sandbox_ids is provided by the E2b MCP server (yukkit/e2b-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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