Get spending summary for a time period
AI agents call get_summary 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 and aggregates spending data for reporting purposes. It performs a read-only query of financial information with no side effects—no transactions are created, modified, deleted, or executed. The blast radius of misuse is minimal: an agent could only view spending summaries it is authorized to access, with no capability to alter financial state or trigger transactions.
From the tool's definition Tool name 'get_summary' and description 'Get spending summary for a time period' indicate data retrieval only. The verb 'Get' and the summary context show this queries existing financial data without modification, deletion, or execution of transactions.
Attacks that exploit this kind of access
Get spending summary for a time period. 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_summary: 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_summary 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_summary 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_summary. 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_summary 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.
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