spending_award_details
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.
This record as markdown: /tools/io-github-blackboxfoundry-livedatalink/spending-award-details.md
What spending_award_details does on Livedatalink
AI agents call spending_award_details to retrieve information from Livedatalink without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
award_id | string | Yes | Generated award id from spending_search_awards. |
Parameters from the server's own tool schema.
Why spending_award_details is rated Low
Even though spending_award_details only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
The rule that runs spending_award_details safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Livedatalink, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For spending_award_details, this is the rule to start with:
spending_award_details is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Livedatalink, apply this rule, and every spending_award_details call is checked against it from then on.
Questions about spending_award_details
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.
spending_award_details accepts 1 parameter: award_id. Required: award_id. The full parameter table on this page comes from the server's own tool schema.
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.
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