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sandbox_resume

Restore a suspended sandbox from its snapshot (same TAP/IP/MAC/rootfs/volumes). The lifetime that remained when it was suspended is restored and the auto-destroy timer is re-armed — no need to call sandbox_extend. Returns the updated record with the new expiresAt.

SERVEREasyBits SOURCE@easybits.cloud/mcp
High RISK CLASS
Category Execute
Parameters 00 required
Recommended Rate-limitedsee the rule below
Registry record Grade D, identity unverified Pull the record →

This record as markdown: /tools/cloud-easybits-easybits/sandbox-resume.md

What sandbox_resume does on EasyBits

AI agents invoke sandbox_resume to trigger actions in EasyBits. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.

Why sandbox_resume is rated High

Resumes a VM execution environment, triggering external compute operations with side effects.

From the tool's definition Restore a suspended sandbox from its snapshot, re-arms auto-destroy timer

Questions about sandbox_resume

What does the sandbox_resume tool do? +

Restore a suspended sandbox from its snapshot (same TAP/IP/MAC/rootfs/volumes). The lifetime that remained when it was suspended is restored and the auto-destroy timer is re-armed — no need to call sandbox_extend. Returns the updated record with the new expiresAt. It is categorised as a Execute tool in the EasyBits MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on sandbox_resume? +

Register the EasyBits MCP server in PolicyLayer and add a rule for sandbox_resume: 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 EasyBits. Nothing to install.

What risk level is sandbox_resume? +

sandbox_resume is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit sandbox_resume? +

Yes. Add a rate_limit block to the sandbox_resume 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.

How do I block sandbox_resume completely? +

Set action: deny in the PolicyLayer policy for sandbox_resume. 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.

What MCP server provides sandbox_resume? +

sandbox_resume is provided by the EasyBits MCP server (@easybits.cloud/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

More on EasyBits, and thousands of servers like it.

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