List all scheduled deployments for the current user. View and manage all your scheduled deployment executions with filtering and pagination options. Perfect for: - Getting an overview of all scheduled tasks - Finding specific schedules by deployment or status - Managing and monitoring scheduled e...
Part of the DataGen server.
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AI agents call listSchedules 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 listSchedules 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.
{
"version": "1",
"default": "deny",
"tools": {
"listSchedules": {}
}
} See the full DataGen policy for all 20 tools.
These attack patterns abuse exactly the kind of access listSchedules gives an agent. Each links to the full case and the policy that stops it:
Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.
List all scheduled deployments for the current user. View and manage all your scheduled deployment executions with filtering and pagination options. Perfect for: - Getting an overview of all scheduled tasks - Finding specific schedules by deployment or status - Managing and monitoring scheduled executions - Planning workflow timing and coordination Returns: - List of all schedules with details - Schedule status and next execution times - Deployment information and input variables - Pagination support for large lists. It is categorised as a Read tool in the DataGen MCP Server, which means it retrieves data without modifying state.
Register the DataGen MCP server in PolicyLayer and add a rule for listSchedules: 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.
listSchedules 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 listSchedules 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 listSchedules. 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.
listSchedules 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.
Deterministic rules across all 20 DataGen tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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