college_metrics
Cost and outcome metrics for one school: published tuition (in-state and out-of-state), average net price, six-year graduation rate, first-year retention, median earnings ten years after entry, admission rate, and SAT/ACT ranges.
This record as markdown: /tools/io-github-blackboxfoundry-livedatalink/college-metrics.md
What college_metrics does on Livedatalink
AI agents call college_metrics 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 |
|---|---|---|---|
unit_id | string | Yes | IPEDS UNITID (Scorecard 'id'). |
Parameters from the server's own tool schema.
Why college_metrics is rated Low
Even though college_metrics 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 college_metrics 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 college_metrics, this is the rule to start with:
college_metrics 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 college_metrics call is checked against it from then on.
Questions about college_metrics
Cost and outcome metrics for one school: published tuition (in-state and out-of-state), average net price, six-year graduation rate, first-year retention, median earnings ten years after entry, admission rate, and SAT/ACT ranges. It is categorised as a Read tool in the Livedatalink MCP Server, which means it retrieves data without modifying state.
college_metrics accepts 1 parameter: unit_id. Required: unit_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 college_metrics: 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.
college_metrics 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 college_metrics 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 college_metrics. 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.
college_metrics 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.
More on Livedatalink, and thousands of servers like it.
This server
Across the catalogue