Search purchase history from amazon.
AI agents call amazon_us_search_purchase_history to retrieve information from Get Gather without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves historical purchase data from an Amazon account through a browser automation service. While it is fundamentally a Read operation (no data is created, modified, or deleted), it warrants medium severity because: (1) it accesses sensitive personal financial transaction history; (2) unauthorized access could expose detailed consumer behavior and spending patterns; (3) the remote browser context…
From the tool's definition Tool name 'amazon_us_search_purchase_history' and description 'Search purchase history from amazon' indicate data retrieval without modification.
Documented attack patterns abuse exactly the kind of access amazon_us_search_purchase_history gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Get Gather, and nothing reaches the server without passing your rules. This is the rule we recommend for amazon_us_search_purchase_history:
{
"version": "1",
"default": "deny",
"tools": {
"amazon_us_search_purchase_history": {}
}
}amazon_us_search_purchase_history is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Search purchase history from amazon. It is categorised as a Read tool in the Get Gather MCP Server, which means it retrieves data without modifying state.
Register the Get Gather MCP server in PolicyLayer and add a rule for amazon_us_search_purchase_history: 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 Get Gather. Nothing to install.
amazon_us_search_purchase_history 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 amazon_us_search_purchase_history 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 amazon_us_search_purchase_history. 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.
amazon_us_search_purchase_history is provided by the Get Gather MCP server (remotebrowser/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 62 Get Gather tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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62 Get Gather tools catalogued and risk-classified — across an index of 42,500+ MCP servers.