get_reminder_preferences
Get local reminder preferences (due-soon window, SLA warning lead, desktop notify).
This record as markdown: /tools/todos/get-reminder-preferences.md
What get_reminder_preferences does on Todos
AI agents call get_reminder_preferences to retrieve information from Todos without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why get_reminder_preferences is rated Low
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.
Attacks that exploit this kind of access
The rule that runs get_reminder_preferences safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Todos, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For get_reminder_preferences, this is the rule to start with:
get_reminder_preferences is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Todos, apply this rule, and every get_reminder_preferences call is checked against it from then on.
Questions about get_reminder_preferences
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.
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.
get_reminder_preferences 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 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.
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.
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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