Get checkout preference by ID
AI agents call get_preference to retrieve information from Mcp Ap2 without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves checkout preference settings associated with an ID. There is no indication of data creation, modification, deletion, or financial transaction execution. It is a straightforward data lookup operation, which falls under the Read category.
From the tool's definition Tool name 'get_preference' combined with description 'Get checkout preference by ID' indicates a retrieval operation that queries existing data without modification or side effects.
Documented attack patterns abuse exactly the kind of access get_preference gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Mcp Ap2, and nothing reaches the server without passing your rules. This is the rule we recommend for get_preference:
{
"version": "1",
"default": "deny",
"tools": {
"get_preference": {}
}
} get_preference is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get checkout preference by ID. It is categorised as a Read tool in the Mcp Ap2 MCP Server, which means it retrieves data without modifying state.
Register the Mcp Ap2 MCP server in PolicyLayer and add a rule for get_preference: 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 Mcp Ap2. Nothing to install.
get_preference 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_preference 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_preference. 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_preference is provided by the Mcp Ap2 MCP server (@codespar/mcp-ap2). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Mcp Ap2, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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