This allows for complex filtering for specific subsets of spending data.
AI agents call spending_by_award 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.
This tool queries and retrieves government spending information based on user-specified filters. It performs read-only operations on public spending data without creating, modifying, deleting, or executing external operations. The blast radius of misuse is minimal—worst case, an agent could retrieve sensitive aggregate information, but cannot alter government records or trigger financial transactions.
From the tool's definition Tool allows 'complex filtering for specific subsets of spending data' on USASPENDING.gov; described as "Interact with USASPENDING.gov to track government spending over time, search by agency, explore spending to communities." The verb 'allows for filtering'…
Attacks that exploit this kind of access
This allows for complex filtering for specific subsets of spending data. It is categorised as a Read tool in the Usaspending MCP Server, which means it retrieves data without modifying state.
Register the Usaspending MCP server in PolicyLayer and add a rule for spending_by_award: 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.
spending_by_award 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 spending_by_award 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 spending_by_award. 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.
spending_by_award 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.
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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