AI agents call ovh_get_orders to retrieve information from Ovh 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 user order data from the OVH API without modifying, creating, or deleting any resources. It is a read-only operation. Severity is medium rather than low because orders may contain financial or sensitive business information (amounts, items, dates, delivery details), making unauthorized access a moderate privacy/compliance risk in context of an AI agent.
From the tool's definition Tool name 'ovh_get_orders' and description 'Get user orders' indicate a retrieval operation with no side effects.
Attacks that exploit this kind of access
Get user orders. It is categorised as a Read tool in the Ovh MCP Server, which means it retrieves data without modifying state.
Register the Ovh MCP server in PolicyLayer and add a rule for ovh_get_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 Ovh. Nothing to install.
ovh_get_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 ovh_get_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 ovh_get_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.
ovh_get_orders is provided by the Ovh MCP server (mcp-server-ovh). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
ovh_get_orders is one line of Ovh's registry record.
The record carries the whole server: verified identity, auth posture, risk grade, every tool classified, recommended policy — re-checked continuously.
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