create_sandbox
Create a disposable Docker sandbox for AI agents. Returns sandbox_id.
This record as markdown: /tools/agent-jail-mcp/create-sandbox.md
What create_sandbox does on Agent Jail
AI agents use create_sandbox to create or update resources in Agent Jail, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Agent Jail environment.
Why create_sandbox is rated Medium
An AI agent can call create_sandbox faster than any human can review: one bad instruction and it creates or modifies resources in Agent Jail by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
The rule that runs create_sandbox safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Agent Jail, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For create_sandbox, this is the rule to start with:
create_sandbox stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Agent Jail, apply this rule, and every create_sandbox call is checked against it from then on.
Questions about create_sandbox
Create a disposable Docker sandbox for AI agents. Returns sandbox_id. It is categorised as a Write tool in the Agent Jail MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Agent Jail MCP server in PolicyLayer and add a rule for create_sandbox: 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 Agent Jail. Nothing to install.
create_sandbox 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 create_sandbox 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 create_sandbox. 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.
create_sandbox is provided by the Agent Jail MCP server (idiscoord13-sketch/agent-jail-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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