Get full detail for one federal award by its award id (the generated id from spending_search_awards): recipient, amount, type, awarding and funding agencies, period of performance, NAICS/PSC, place of performance, and description.
Part of the Livedatalink server.
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AI agents call spending_award_details to retrieve information from Livedatalink 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 spending_award_details 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.
{
"version": "1",
"default": "deny",
"tools": {
"spending_award_details": {}
}
}See the full Livedatalink policy for all 177 tools.
These attack patterns abuse exactly the kind of access spending_award_details gives an agent. Each links to the full case and the policy that stops it:
Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.
Get full detail for one federal award by its award id (the generated id from spending_search_awards): recipient, amount, type, awarding and funding agencies, period of performance, NAICS/PSC, place of performance, and description.. It is categorised as a Read tool in the Livedatalink MCP Server, which means it retrieves data without modifying state.
Register the Livedatalink MCP server in PolicyLayer and add a rule for spending_award_details: 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 Livedatalink. Nothing to install.
spending_award_details 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_award_details 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_award_details. 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_award_details is provided by the Livedatalink MCP server (https://livedatalink.ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 177 Livedatalink tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
4,600+ MCP servers and 31,000+ tools scanned and risk-classified.