Get CashChat user settings
AI agents call get_settings to retrieve information from CashChat MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves user settings without creating, modifying, or deleting any data. It is a simple query operation that reads configuration information. While it is part of a financial application, the tool itself performs no financial transactions, does not move money, and does not execute commands.
From the tool's definition Tool name 'get_settings' and description 'Get CashChat user settings' indicate a retrieval operation with no data modification or side effects.
Attacks that exploit this kind of access
Get CashChat user settings. It is categorised as a Read tool in the CashChat MCP Server MCP Server, which means it retrieves data without modifying state.
Register the CashChat MCP Server MCP server in PolicyLayer and add a rule for get_settings: 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 CashChat MCP Server. Nothing to install.
get_settings 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_settings 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_settings. 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_settings is provided by the CashChat MCP Server MCP server (pam-supastellar/cashchat-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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