spending_over_time

This returns a list of aggregated award amounts grouped by time period

Server Usaspending thsmale/usaspending-mcp-server
Category Read
Risk class Low
Parameters 00 required

What spending_over_time does on Usaspending

AI agents call spending_over_time to retrieve information from Usaspending without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why spending_over_time needs a policy

This tool queries and retrieves government spending data from USASPENDING.gov. It aggregates historical spending information and returns it grouped by time periods. There are no side effects—no data is created, modified, deleted, or destructed. No external code execution or financial transactions are triggered.

From the tool's definition Tool name 'spending_over_time' and description 'returns a list of aggregated award amounts grouped by time period' indicate data retrieval with no mutation, creation, deletion, or execution of external operations.

Questions about spending_over_time

What does the spending_over_time tool do? +

This returns a list of aggregated award amounts grouped by time period. It is categorised as a Read tool in the Usaspending MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on spending_over_time? +

Register the Usaspending MCP server in PolicyLayer and add a rule for spending_over_time: 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 Usaspending. Nothing to install.

What risk level is spending_over_time? +

spending_over_time is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit spending_over_time? +

Yes. Add a rate_limit block to the spending_over_time 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.

How do I block spending_over_time completely? +

Set action: deny in the PolicyLayer policy for spending_over_time. 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.

What MCP server provides spending_over_time? +

spending_over_time is provided by the Usaspending MCP server (thsmale/usaspending-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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