List open debts or loans tracked in a specific wallet.
AI agents call get_debts to retrieve information from Money Lover MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The 'get_debts' tool performs a read-only query to retrieve debt information from a wallet. It returns data without side effects—no creation, modification, deletion, or execution of code.
From the tool's definition Tool name 'get_debts' and description 'List open debts or loans tracked in a specific wallet' indicate a query operation that retrieves existing data without modification or deletion.
Attacks that exploit this kind of access
List open debts or loans tracked in a specific wallet. It is categorised as a Read tool in the Money Lover MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Money Lover MCP Server MCP server in PolicyLayer and add a rule for get_debts: 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 Money Lover MCP Server. Nothing to install.
get_debts 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_debts 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_debts. 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_debts is provided by the Money Lover MCP Server MCP server (juansebashr/moneylover-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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