AXIS-owned secure code execution. Each call spawns a fresh ephemeral Docker container with hardened isolation: no network, read-only root filesystem, all Linux capabilities dropped, no-new-privileges, PID/memory/CPU limits, tmpfs /tmp only, runs as nobody:nobody. Container is force-removed after ...
AI agents invoke iliad_code_sandbox to trigger actions in AXIS iliad. 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.
This tool executes arbitrary code (Python, Node.js, or Bash) inside a Docker container. Despite strong sandboxing measures (no network, read-only filesystem, dropped capabilities), it still runs arbitrary code provided by the caller. Misuse could involve executing malicious logic, exfiltrating data available in the container context, or consuming compute resources.
From the tool's definition secure code execution...spawns a fresh ephemeral Docker container...Supports python | node | bash via the multi-runtime image
Risk signalsAdmin/system-level operation
Attacks that exploit this kind of access
AXIS-owned secure code execution. Each call spawns a fresh ephemeral Docker container with hardened isolation: no network, read-only root filesystem, all Linux capabilities dropped, no-new-privileges, PID/memory/CPU limits, tmpfs /tmp only, runs as nobody:nobody. Container is force-removed after each call. Supports python | node | bash via the multi-runtime image. It is categorised as a Execute tool in the AXIS iliad MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the AXIS iliad MCP server in PolicyLayer and add a rule for iliad_code_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 AXIS iliad. Nothing to install.
iliad_code_sandbox 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 iliad_code_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 iliad_code_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.
iliad_code_sandbox is provided by the AXIS iliad MCP server (lastmanupinc-hub/axis-iliad). 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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