# college_trends

Multi-year trend for one school sourced from the Urban Institute Education Data Portal (IPEDS). Choose a metric (enrollment, graduation_rate, retention, cost) and a year range.

Agent View of the PolicyLayer registry record for `college_trends`. HTML page: https://policylayer.com/tools/io-github-blackboxfoundry-livedatalink/college-trends

## Facts

- Tool: `college_trends`
- Server: Livedatalink (`https://livedatalink.ai/mcp`) — https://policylayer.com/tools/io-github-blackboxfoundry-livedatalink.md
- Homepage: https://github.com/blackboxfoundry/livedatalink
- Risk category: Read (Low risk)
- Registry record: grade F, identity unverified
- Server auth posture: open
- Server CORS policy: *
- Server rate-limited: no
- Parameters: 4 (4 required)
- Recommended policy verdict: Allowed

## Parameters

| Parameter | Type | Required | Description |
| --- | --- | --- | --- |
| `metric` | string | yes | Trend metric. |
| `unit_id` | string | yes | IPEDS UNITID. |
| `end_year` | number | yes | Last academic year, e.g. 2022. |
| `start_year` | number | yes | First academic year, e.g. 2010. |

Parameters from the server's own tool schema.

## Example call (MCP tools/call, JSON-RPC 2.0)

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "college_trends",
    "arguments": {
      "metric": "<metric>",
      "unit_id": "<unit_id>",
      "end_year": 0,
      "start_year": 0
    }
  }
}
```

## Why college_trends is rated Low

The tool queries and retrieves historical educational trend data from a public data portal. It supports filtering by metric and time period but does not create, modify, delete, or execute any operations. There are no side effects beyond returning requested information. This is a straightforward Read operation with minimal risk if misused by an AI agent.

From the tool's own definition: "Tool description states 'Multi-year trend for one school sourced from the Urban Institute Education Data Portal (IPEDS)' with operations to 'Choose a metric...and a year range.' These are read-only data retrieval operations with no modification, deletion, or…"

## Use case

AI agents call college_trends 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.

## Recommended policy (PolicyLayer)

Verdict: **Allowed**. Enforced by the PolicyLayer MCP gateway (https://policylayer.com/mcp-gateway) before a call reaches Livedatalink:

```json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "college_trends": {}
  }
}
```

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## For agents

This record is a snapshot. Live verdicts and the full registry:

- Check every server in your MCP config at once: `npx -y policylayer stack`
- Vet a server before you add it: install the mcp-precheck skill — `npx skills add https://policylayer.com` (skill text: https://policylayer.com/skill.md)
- Query the registry over MCP: endpoint `https://api.policylayer.com/mcp` — tools `check_mcp_server`, `check_mcp_stack`, `check_tool`, `search_registry`, `get_change_events`

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Source: the PolicyLayer MCP registry — one continuously verified record per MCP server. Full record: https://policylayer.com/registry?q=io-github-blackboxfoundry-livedatalink · API: https://policylayer.com/registry/api · Policy library: https://policylayer.com/policies/io-github-blackboxfoundry-livedatalink