AI agents invoke sandy_run to trigger actions in Sandy. 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.
The tool executes arbitrary TypeScript scripts, which is a code execution operation. Although the Sandy server provides sandboxing to mitigate risks (no host credential exposure, cross-account isolation), the tool itself permits running dynamic code whose effects depend entirely on the script arguments. This is a classic Execute category tool.
From the tool's definition Tool description: 'Run a TypeScript script in the Sandy sandbox' — explicitly runs arbitrary code (TypeScript scripts) in an execution environment.
Attacks that exploit this kind of access
Run a TypeScript script in the Sandy sandbox. It is categorised as a Execute tool in the Sandy MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Sandy MCP server in PolicyLayer and add a rule for sandy_run: 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 Sandy. Nothing to install.
sandy_run is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the sandy_run 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 sandy_run. 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.
sandy_run is provided by the Sandy MCP server (jamestelfer/sandy). 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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