AI agents call sku_quantity_keep_pick to retrieve information from Gobox without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves inventory metadata (quantity reserved for picks) from the Gobox platform. It has no side effects, does not modify data, does not execute code, and does not affect financial transactions. It is purely informational, analogous to a SELECT query in a database context.
From the tool's definition Tool name 'sku_quantity_keep_pick' and description 'Get quantity reserved for outgoing order picks (not available for sale)' indicate a data retrieval operation.
Attacks that exploit this kind of access
Get quantity reserved for outgoing order picks (not available for sale). It is categorised as a Read tool in the Gobox MCP Server, which means it retrieves data without modifying state.
Register the Gobox MCP server in PolicyLayer and add a rule for sku_quantity_keep_pick: 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 Gobox. Nothing to install.
sku_quantity_keep_pick 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 sku_quantity_keep_pick 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 sku_quantity_keep_pick. 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.
sku_quantity_keep_pick is provided by the Gobox MCP server (winter279/gobox-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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