AI agents call get_reminders to retrieve information from Todoist without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool only retrieves reminder information from Todoist. It performs no writes, deletes, or side effects. The optional filtering parameter does not change the read-only nature of the operation. The blast radius of misuse is minimal — an agent could at worst retrieve user reminders, a low-sensitivity information disclosure.
From the tool's definition Tool name is 'get_reminders' and description states 'Get all reminders, optionally filtered by task' — a purely query operation that retrieves data without modification.
Attacks that exploit this kind of access
Get all reminders, optionally filtered by task. It is categorised as a Read tool in the Todoist MCP Server, which means it retrieves data without modifying state.
Register the Todoist MCP server in PolicyLayer and add a rule for get_reminders: 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 Todoist. Nothing to install.
get_reminders 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_reminders 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_reminders. 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_reminders is provided by the Todoist MCP server (sjvadrevu/todoist-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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