get_reminder_preferences

Get local reminder preferences (due-soon window, SLA warning lead, desktop notify).

Server Todos @hasna/todos
Category Read
Risk class Low
Parameters 00 required

What get_reminder_preferences does on Todos

AI agents call get_reminder_preferences to retrieve information from Todos without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why get_reminder_preferences needs a policy

This tool retrieves user preferences for reminders without side effects. It performs a read operation on stored configuration data. No data is created, modified, deleted, or executed. The low severity reflects that preference data is non-sensitive and read-only access poses minimal risk.

From the tool's definition Tool name and description indicate retrieval only: 'Get local reminder preferences' with parameters (due-soon window, SLA warning lead, desktop notify) are all configuration settings being queried, not modified or executed.

Questions about get_reminder_preferences

What does the get_reminder_preferences tool do? +

Get local reminder preferences (due-soon window, SLA warning lead, desktop notify). It is categorised as a Read tool in the Todos MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_reminder_preferences? +

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

What risk level is get_reminder_preferences? +

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

Can I rate-limit get_reminder_preferences? +

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

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

get_reminder_preferences is provided by the Todos MCP server (@hasna/todos). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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