AI agents call gov.usaspending-awards to retrieve information from Mcp 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 publicly available federal spending data without side effects. It performs a search operation that returns information about contracts, grants, loans, and direct payments. No data is created, modified, deleted, or executed.
From the tool's definition Tool description specifies 'Search federal awards' and retrieves data 'via USAspending.gov' without mentioning creation, modification, deletion, or execution capabilities.
Attacks that exploit this kind of access
Search federal awards (contracts, grants, loans, direct payments) via USAspending.gov. Largest-amount first within the date window. It is categorised as a Read tool in the Mcp MCP Server, which means it retrieves data without modifying state.
Register the MCP server in PolicyLayer and add a rule for gov.usaspending-awards: 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 Mcp. Nothing to install.
gov.usaspending-awards 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 gov.usaspending-awards 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 gov.usaspending-awards. 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.
gov.usaspending-awards is provided by the MCP server (@2sio/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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