Manage reminders for bookmarks. Set or remove reminder notifications for important bookmarks you want to revisit.
AI agents use bookmark_reminders to create or update resources in Raindrop Io MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Raindrop Io MCP Server environment.
The tool creates or modifies reminder settings on bookmarks (set/remove), which are reversible write operations. No irreversible deletion of bookmarks themselves occurs, and no code execution or financial actions are involved. Severity is medium as misuse could spam reminders or remove important ones, but blast radius is limited to notification state.
From the tool's definition Manage reminders for bookmarks. Set or remove reminder notifications
Attacks that exploit this kind of access
Manage reminders for bookmarks. Set or remove reminder notifications for important bookmarks you want to revisit. It is categorised as a Write tool in the Raindrop Io MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Raindrop Io MCP Server MCP server in PolicyLayer and add a rule for bookmark_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 Raindrop Io MCP Server. Nothing to install.
bookmark_reminders 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 bookmark_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 bookmark_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.
bookmark_reminders is provided by the Raindrop Io MCP Server MCP server (kazuph/mcp-raindrop). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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