AI agents call list_recent_orders to retrieve information from Tuma250 without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool retrieves or queries order history data with no destructive, financial, or executable side effects. While it accesses user data, the blast radius of misuse is limited to viewing past orders, which carries low business and privacy impact in a grocery context.
From the tool's definition Tool name 'list_recent_orders' follows Read category verb pattern (list). Server context indicates this is a grocery shopping site where users browse order history.
Attacks that exploit this kind of access
list_recent_orders. It is categorised as a Read tool in the Tuma250 MCP Server, which means it retrieves data without modifying state.
Register the Tuma250 MCP server in PolicyLayer and add a rule for list_recent_orders: 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 Tuma250. Nothing to install.
list_recent_orders 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_recent_orders 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_recent_orders. 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_recent_orders is provided by the Tuma250 MCP server (yann-j/tuma250_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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