trustly_get_payment
Status actual del pago (pending, completed, etc.). Cache 2 min.
This record as markdown: /tools/skills-mx/trustly-get-payment.md
What trustly_get_payment does on Skills_MX
AI agents call trustly_get_payment to retrieve information from Skills_MX without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why trustly_get_payment is rated Low
Even though trustly_get_payment only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
The rule that runs trustly_get_payment safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Skills_MX, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For trustly_get_payment, this is the rule to start with:
trustly_get_payment is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Skills_MX, apply this rule, and every trustly_get_payment call is checked against it from then on.
Questions about trustly_get_payment
Status actual del pago (pending, completed, etc.). Cache 2 min. It is categorised as a Read tool in the Skills_MX MCP Server, which means it retrieves data without modifying state.
Register the Skills_MX MCP server in PolicyLayer and add a rule for trustly_get_payment: 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 Skills_MX. Nothing to install.
trustly_get_payment 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 trustly_get_payment 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 trustly_get_payment. 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.
trustly_get_payment is provided by the Skills_MX MCP server (elimorals/Skills_MX). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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