How the MCP Sandbox Isolates Tool Execution
When an AI agent calls a tool through G8KEPR, that tool doesn't run loose on the host. It runs inside a sandbox that caps the resources it can use and restricts it to what it explicitly needs — so a slow, greedy, or misbehaving tool call is far less likely to take the rest of your system down with it.
What the sandbox is for
Directly executed tools are code. Left unbounded, a single tool call could spin the CPU for a long time, exhaust memory, spawn runaway processes, or flood your logs with large volumes of output. The sandbox turns each execution into a disposable, tightly-bounded unit of work that either finishes within its limits or is stopped.
Limits applied to every tool call
Each execution runs under enforced ceilings, rather than relying only on application-level checks a tool could ignore:
- ▸CPU time — a cap on compute per call, so an infinite loop is terminated rather than hogging cores.
- ▸Memory — a fixed ceiling; a tool that tries to allocate past it is stopped instead of triggering system-wide memory pressure.
- ▸Wall-clock timeout — every call gets a deadline. If it hasn't returned by then, it's stopped and reported as timed out.
- ▸Process count — limits on child processes help prevent fork-style resource exhaustion.
- ▸Output size — captured output is bounded so a chatty or hostile tool is much less likely to fill your disk or overwhelm the pipeline.
These limits are designed to be enforced outside the tool's own process, so a tool generally cannot simply raise its own ceiling from within.
Isolation between calls
Beyond raw limits, each execution is separated from the host and from other calls:
- 1.The tool runs as a short-lived, reduced-privilege process — it is not granted administrative rights.
- 2.Filesystem and network access are restricted toward what the tool legitimately needs, reducing its ability to wander into unrelated files or make arbitrary outbound connections.
- 3.When the call ends — success, failure, or timeout — its process and transient state are torn down, so little carries over to affect the next call.
What you get
Every result records whether the tool completed cleanly or was stopped for exceeding a limit, giving you a clear audit trail.
Pair the sandbox with policy controls to decide *which* tools an agent may call at all. See MCP tool policies and Reviewing agent activity.