get_spending_summary
Fetch a summary of the agent's spending to date.
This record as markdown: /tools/advaitgore-agent-payment/get-spending-summary.md
What get_spending_summary does on AgentPay
AI agents call get_spending_summary to retrieve information from AgentPay without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why get_spending_summary is rated Low
This tool retrieves historical spending data for informational purposes only. It has no side effects, does not modify or delete data, does not execute transactions, and does not commit financial obligations. It is a straightforward read operation on an audit trail. Blast radius is minimal — at worst, an agent could access spending summaries it shouldn't, but no funds are at risk from the tool itself.
From the tool's definition Tool name is 'get_spending_summary' and description states 'Fetch a summary of the agent's spending to date' — uses action verb 'Fetch' which retrieves data without modification.
Attacks that exploit this kind of access
The rule that runs get_spending_summary safely
PolicyLayer is an MCP gateway: it sits between your AI agents and AgentPay, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For get_spending_summary, this is the rule to start with:
get_spending_summary 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 AgentPay, apply this rule, and every get_spending_summary call is checked against it from then on.
Questions about get_spending_summary
Fetch a summary of the agent's spending to date. It is categorised as a Read tool in the AgentPay MCP Server, which means it retrieves data without modifying state.
Register the AgentPay MCP server in PolicyLayer and add a rule for get_spending_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 AgentPay. Nothing to install.
get_spending_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_spending_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_spending_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_spending_summary is provided by the AgentPay MCP server (advaitgore/agent_payment). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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