Low Risk

compare_schools

Compare multiple colleges or universities side by side. Returns key metrics for each school including tuition, admission rate, median earnings, debt, and completion rate for easy comparison. Args: school_ids: Comma-separated list of College Scorecard school IDs (e.g. '166027,166683,243780'). Use ...

Part of the College Scorecard server.

compare_schools 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 compare_schools to retrieve information from College Scorecard 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 compare_schools 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": {
    "compare_schools": {}
  }
}

See the full College Scorecard policy for all 4 tools.

Get this rule live on your own College Scorecard server in minutes. PolicyLayer enforces it on every call, before it runs.

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

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so compare_schools 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 compare_schools tool do? +

Compare multiple colleges or universities side by side. Returns key metrics for each school including tuition, admission rate, median earnings, debt, and completion rate for easy comparison. Args: school_ids: Comma-separated list of College Scorecard school IDs (e.g. '166027,166683,243780'). Use search_schools to find IDs.. It is categorised as a Read tool in the College Scorecard MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on compare_schools? +

Register the College Scorecard MCP server in PolicyLayer and add a rule for compare_schools: 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 College Scorecard. Nothing to install.

What risk level is compare_schools? +

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

Can I rate-limit compare_schools? +

Yes. Add a rate_limit block to the compare_schools 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 compare_schools completely? +

Set action: deny in the PolicyLayer policy for compare_schools. 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 compare_schools? +

compare_schools is provided by the College Scorecard MCP server (https://mcp.olyport.com/college-scorecard/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every College Scorecard tool call.

Deterministic rules across all 4 College Scorecard tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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