AI agents call get_order_details 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.
This tool retrieves historical order information without modifying, deleting, or executing actions. The empty description lowers confidence slightly, but the naming convention and server context strongly suggest a simple query operation with no side effects.
From the tool's definition Tool name 'get_order_details' and server context indicate data retrieval. Description is empty, but sibling tools (list_recent_orders, get_cart) and server purpose (browse order history) confirm read-only pattern.
Attacks that exploit this kind of access
get_order_details. 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 get_order_details: 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.
get_order_details 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_order_details 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_order_details. 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_order_details 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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