sandbox_status
The user's session-sandbox state (starting | active | ending | ended | none) plus the 20 newest work items (id, kind, status, result). Check this before sandbox_exec, and to report what ran.
This record as markdown: /tools/ai-rokha-rokha/sandbox-status.md
What sandbox_status does on Rokha
AI agents call sandbox_status to retrieve information from Rokha without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
wallet_address | string | Yes |
Parameters from the server's own tool schema.
Why sandbox_status is rated Low
Queries sandbox status and work history without modifying or executing any operations.
From the tool's definition session-sandbox state, work items, check before execution, report
Attacks that exploit this kind of access
The rule that runs sandbox_status safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Rokha, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For sandbox_status, this is the rule to start with:
sandbox_status is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Rokha, apply this rule, and every sandbox_status call is checked against it from then on.
Questions about sandbox_status
The user's session-sandbox state (starting | active | ending | ended | none) plus the 20 newest work items (id, kind, status, result). Check this before sandbox_exec, and to report what ran. It is categorised as a Read tool in the Rokha MCP Server, which means it retrieves data without modifying state.
sandbox_status accepts 1 parameter: wallet_address. Required: wallet_address. The full parameter table on this page comes from the server's own tool schema.
Register the Rokha MCP server in PolicyLayer and add a rule for sandbox_status: 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 Rokha. Nothing to install.
sandbox_status 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 sandbox_status 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 sandbox_status. 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.
sandbox_status is provided by the Rokha MCP server (https://rokha.ai/mcp/jsonrpc). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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