List bookmarks for a collection with pagination
Part of the Raindrop server.
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AI agents call list_raindrops to retrieve information from Raindrop without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.
Even though list_raindrops only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.
Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.
{
"version": "1",
"default": "deny",
"tools": {
"list_raindrops": {}
}
}See the full Raindrop policy for all 17 tools.
These attack patterns abuse exactly the kind of access list_raindrops gives an agent. Each links to the full case and the policy that stops it:
Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.
List bookmarks for a collection with pagination. It is categorised as a Read tool in the Raindrop MCP Server, which means it retrieves data without modifying state.
Register the Raindrop MCP server in PolicyLayer and add a rule for list_raindrops: 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. Nothing to install.
list_raindrops 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 list_raindrops 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 list_raindrops. 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.
list_raindrops is provided by the Raindrop MCP server (@adeze/raindrop-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 17 Raindrop tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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