Create a new routine for an agent. Interval values: By schedule: weekday-morning (Mon–Fri 08:00 UTC), weekday-evening (Mon–Fri 18:00 UTC), weekly-monday (Mon 08:00 UTC), weekly-tuesday-evening (Tue 18:00 UTC), weekly-friday-evening (Fri 18:00 UTC), daily (every day 08:00 UTC) By interval: 2h, 6h,...
Risk signalsBulk/mass operation — affects multiple targets
Part of the Agentled server.
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AI agents use create_routine to create or modify resources in Agentled. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.
Without a policy, an AI agent could call create_routine repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Agentled.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
{
"version": "1",
"default": "deny",
"tools": {
"create_routine": {
"limits": [
{
"counter": "create_routine_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}See the full Agentled policy for all 119 tools.
These attack patterns abuse exactly the kind of access create_routine gives an agent. Each links to the full case and the policy that stops it:
Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Create a new routine for an agent. Interval values: By schedule: weekday-morning (Mon–Fri 08:00 UTC), weekday-evening (Mon–Fri 18:00 UTC), weekly-monday (Mon 08:00 UTC), weekly-tuesday-evening (Tue 18:00 UTC), weekly-friday-evening (Fri 18:00 UTC), daily (every day 08:00 UTC) By interval: 2h, 6h, 48h Model format: "provider:modelId" e.g. "anthropic:claude-4-6-sonnet" (default).. It is categorised as a Write tool in the Agentled MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Agentled MCP server in PolicyLayer and add a rule for create_routine: 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 Agentled. Nothing to install.
create_routine is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the create_routine 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 create_routine. 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.
create_routine is provided by the Agentled MCP server (@agentled/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 119 Agentled tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
4,600+ MCP servers and 31,000+ tools scanned and risk-classified.