Get earnings and debt data by field of study from the College Scorecard. Returns median earnings and median debt for graduates of specific academic programs. Can be filtered by school, by field name, or both. Args: school_id: College Scorecard school ID to see field-level data for one school. fie...
Part of the College Scorecard server.
Free to start. No card required.
AI agents call get_field_of_study 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 get_field_of_study 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": {
"get_field_of_study": {}
}
}See the full College Scorecard policy for all 4 tools.
These attack patterns abuse exactly the kind of access get_field_of_study 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 earnings and debt data by field of study from the College Scorecard. Returns median earnings and median debt for graduates of specific academic programs. Can be filtered by school, by field name, or both. Args: school_id: College Scorecard school ID to see field-level data for one school. field: Field of study name or keyword to search across schools (e.g. 'Computer Science', 'Nursing', 'Business').. It is categorised as a Read tool in the College Scorecard MCP Server, which means it retrieves data without modifying state.
Register the College Scorecard MCP server in PolicyLayer and add a rule for get_field_of_study: 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.
get_field_of_study 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 get_field_of_study 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 get_field_of_study. 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.
get_field_of_study 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.
Deterministic rules across all 4 College Scorecard tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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