AI agents call get_sale to retrieve information from Hotmart without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves sale information from the Hotmart platform. The verb 'get' and the read-only nature of fetching details (no side effects, no data modification) classify it as a Read operation. The severity is low because unauthorized access to sale details, while potentially sensitive, has limited blast radius compared to refunds or subscription cancellations available on the same server.
From the tool's definition Tool name 'get_sale' and description 'Get sale details' indicate retrieval of existing data without modification or execution.
Attacks that exploit this kind of access
Get sale details. It is categorised as a Read tool in the Hotmart MCP Server, which means it retrieves data without modifying state.
Register the Hotmart MCP server in PolicyLayer and add a rule for get_sale: 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 Hotmart. Nothing to install.
get_sale 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_sale 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_sale. 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_sale is provided by the Hotmart MCP server (theyahia/hotmart-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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