AI agents call search_sticky_notes to retrieve information from xigua-MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool searches existing sticky notes and returns results without creating, modifying, or deleting any data. It is a read-only operation that retrieves information. Given the benign nature of sticky note data and the read-only classification, severity is low.
From the tool's definition Tool name 'search_sticky_notes' and description '搜索便签' (search sticky notes) indicate a query/retrieval operation with no side effects.
Attacks that exploit this kind of access
搜索便签. It is categorised as a Read tool in the xigua-MCP MCP Server, which means it retrieves data without modifying state.
Register the xigua- MCP server in PolicyLayer and add a rule for search_sticky_notes: 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 xigua-MCP. Nothing to install.
search_sticky_notes 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 search_sticky_notes 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 search_sticky_notes. 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.
search_sticky_notes is provided by the xigua- MCP server (xiguaxiaome/xigua-mcp). 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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