Low Risk

checkCodeExecStatus

Monitor the progress and retrieve results of asynchronous code execution with automatic polling. After starting code execution with 'asyncExecuteCode', use this tool to check the current status and get results when complete. This tool provides real-time updates on execution progress. Status types...

Risk signalsBulk/mass operation — affects multiple targets

Part of the DataGen server.

checkCodeExecStatus is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call checkCodeExecStatus to retrieve information from DataGen without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though checkCodeExecStatus only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "checkCodeExecStatus": {}
  }
}

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These attack patterns abuse exactly the kind of access checkCodeExecStatus gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so checkCodeExecStatus only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the checkCodeExecStatus tool do? +

Monitor the progress and retrieve results of asynchronous code execution with automatic polling. After starting code execution with 'asyncExecuteCode', use this tool to check the current status and get results when complete. This tool provides real-time updates on execution progress. Status types: - 'pending': Execution queued but not yet started - 'running': Currently executing your code - 'completed': Finished successfully, results available - 'failed': Execution failed, error details provided - 'cancelled': Execution was cancelled Controls: - 'timeout_seconds' (default 300, max 900) to cap how long to poll - 'poll_interval_seconds' (default 5, min 2, max 30) between checks Tip: For long operations, poll every 10-30 seconds until completion.. It is categorised as a Read tool in the DataGen MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on checkCodeExecStatus? +

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

What risk level is checkCodeExecStatus? +

checkCodeExecStatus is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit checkCodeExecStatus? +

Yes. Add a rate_limit block to the checkCodeExecStatus 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 checkCodeExecStatus completely? +

Set action: deny in the PolicyLayer policy for checkCodeExecStatus. 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 checkCodeExecStatus? +

checkCodeExecStatus is provided by the DataGen MCP server (kuoyusheng/datagendev). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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