Mark a reminder as completed.
AI agents use reminders.complete_reminder to create or update resources in Orchard — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Orchard environment.
Completing a reminder modifies its state (marking it done), which is a reversible write operation — the reminder still exists and could theoretically be un-completed. It doesn't delete data, execute code, or involve finances. Misuse could cause loss of task tracking context, hence medium severity.
From the tool's definition Mark a reminder as completed
Documented attack patterns abuse exactly the kind of access reminders.complete_reminder gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Orchard, and nothing reaches the server without passing your rules. This is the rule we recommend for reminders.complete_reminder:
{
"version": "1",
"default": "deny",
"tools": {
"reminders.complete_reminder": {
"limits": [
{
"counter": "reminders.complete_reminder_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}reminders.complete_reminder stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
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Mark a reminder as completed. It is categorised as a Write tool in the Orchard MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Orchard MCP server in PolicyLayer and add a rule for reminders.complete_reminder: 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 Orchard. Nothing to install.
reminders.complete_reminder 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 reminders.complete_reminder 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 reminders.complete_reminder. 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.
reminders.complete_reminder is provided by the Orchard MCP server (l22-io/orchard-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Orchard, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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65 Orchard tools catalogued and risk-classified — across an index of 43,000+ MCP servers.