bookmark_search

Search bookmarks with advanced filtering. This is the primary tool for finding bookmarks. Supports full-text search, tag filtering, date ranges, and collection scoping.

Server Raindrop Io MCP Server kazuph/mcp-raindrop
Category Read
Risk class Low
Parameters 00 required

What bookmark_search does on Raindrop Io MCP Server

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

Why bookmark_search needs a policy

This tool retrieves and queries bookmark data based on search parameters (full-text search, tag filtering, date ranges, collection scoping). It has no side effects — it does not create, modify, delete, or execute any operations. It is a pure data retrieval function, placing it firmly in the Read category with low severity.

From the tool's definition Tool description states it "Search bookmarks with advanced filtering" and "finding bookmarks" — classic read-only operations. No mention of modification, deletion, or execution.

Questions about bookmark_search

What does the bookmark_search tool do? +

Search bookmarks with advanced filtering. This is the primary tool for finding bookmarks. Supports full-text search, tag filtering, date ranges, and collection scoping. It is categorised as a Read tool in the Raindrop Io MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on bookmark_search? +

Register the Raindrop Io MCP Server MCP server in PolicyLayer and add a rule for bookmark_search: 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.

What risk level is bookmark_search? +

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

Can I rate-limit bookmark_search? +

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

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

bookmark_search 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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