Low Risk

checkRunStatus

Monitor the progress and results of a running DataGen workflow with automatic polling. After starting a workflow with 'submitDeploymentRun', use this to check if it's still running, completed successfully, or failed. Provide a run UUID directly, or supply a deployment UUID to automatically locate...

Part of the DataGen server.

checkRunStatus 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 checkRunStatus 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 checkRunStatus 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": {
    "checkRunStatus": {}
  }
}

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These attack patterns abuse exactly the kind of access checkRunStatus 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 checkRunStatus 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 checkRunStatus tool do? +

Monitor the progress and results of a running DataGen workflow with automatic polling. After starting a workflow with 'submitDeploymentRun', use this to check if it's still running, completed successfully, or failed. Provide a run UUID directly, or supply a deployment UUID to automatically locate the most recent run for that deployment. Status types: - 'pending': Waiting in queue, check again in a few seconds - 'running': Still executing, check again in a few seconds - 'completed': Finished successfully, output data available - 'failed': Execution failed, error details provided Controls: - 'timeout_seconds' (default 180, max 600) to cap how long to poll - 'poll_interval_seconds' (default 5, min 2, max 30) between checks Lookup options: - Provide 'run_uuid' for direct status polling - Provide 'deployment_uuid' to look up the latest run automatically. 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 checkRunStatus? +

Register the DataGen MCP server in PolicyLayer and add a rule for checkRunStatus: 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 checkRunStatus? +

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

Can I rate-limit checkRunStatus? +

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

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

checkRunStatus 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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