AI agents call get_inbox_tool to retrieve information from Alaya without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and retrieves data from an inbox without creating, modifying, or deleting any content. It is purely a read operation that returns existing information. The low severity reflects minimal risk—retrieving inbox contents cannot damage the knowledge vault or cause irreversible harm.
From the tool's definition Tool name 'get_inbox_tool' and description 'Return the current inbox contents' indicate a retrieval operation with no modification or side effects.
Attacks that exploit this kind of access
Return the current inbox contents. It is categorised as a Read tool in the Alaya MCP Server, which means it retrieves data without modifying state.
Register the Alaya MCP server in PolicyLayer and add a rule for get_inbox_tool: 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 Alaya. Nothing to install.
get_inbox_tool 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 get_inbox_tool 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 get_inbox_tool. 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.
get_inbox_tool is provided by the Alaya MCP server (luke-kucing/alaya). 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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