Low Risk

usaspending_spending_over_time

Fetch aggregated federal obligation amounts grouped by fiscal year, fiscal quarter, or calendar month. Filter by award type, agency, recipient, keyword, or NAICS code to trace spending trends in a specific area. Returns per-period totals and optional breakdowns by award category (contracts, grant...

Risk signalsHigh parameter count (10 properties)

Part of the Usaspending Mcp Server server.

usaspending_spending_over_time is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call usaspending_spending_over_time to retrieve information from Usaspending Mcp Server without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though usaspending_spending_over_time only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "usaspending_spending_over_time": {}
  }
}

See the full Usaspending Mcp Server policy for all 14 tools.

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These attack patterns abuse exactly the kind of access usaspending_spending_over_time gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so usaspending_spending_over_time only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the usaspending_spending_over_time tool do? +

Fetch aggregated federal obligation amounts grouped by fiscal year, fiscal quarter, or calendar month. Filter by award type, agency, recipient, keyword, or NAICS code to trace spending trends in a specific area. Returns per-period totals and optional breakdowns by award category (contracts, grants, direct payments, loans, other).. It is categorised as a Read tool in the Usaspending Mcp Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on usaspending_spending_over_time? +

Register the Usaspending Mcp Server MCP server in PolicyLayer and add a rule for usaspending_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 Mcp Server. Nothing to install.

What risk level is usaspending_spending_over_time? +

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

Can I rate-limit usaspending_spending_over_time? +

Yes. Add a rate_limit block to the usaspending_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 usaspending_spending_over_time completely? +

Set action: deny in the PolicyLayer policy for usaspending_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 usaspending_spending_over_time? +

usaspending_spending_over_time is provided by the Usaspending Mcp Server MCP server (@cyanheads/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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