Share a collection with specific users or generate a public sharing link. Useful for collaboration or sharing curated bookmark lists.
AI agents use collection_share 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.
This tool modifies the sharing/visibility settings of a collection — either granting access to specific users or making it publicly accessible. This is a reversible write operation (sharing can be revoked), but misuse could inadvertently expose private bookmark collections to unintended parties, warranting medium severity.
From the tool's definition Share a collection with specific users or generate a public sharing link
Attacks that exploit this kind of access
Share a collection with specific users or generate a public sharing link. Useful for collaboration or sharing curated bookmark lists. 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 collection_share: 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.
collection_share 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 collection_share 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 collection_share. 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.
collection_share 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.
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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