Look up public schools in a zip code via the National Center for Education Statistics (NCES) Common Core of Data. Returns up to 25 schools (elementary/middle/high) with grade level, enrollment, district, and a Department of Education NCES ID. Useful for buyer queries like 'is this a good school z...
Part of the Scout server.
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AI agents call scout.school_district to retrieve information from Scout 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 scout.school_district 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": {
"scout.school_district": {}
}
}See the full Scout policy for all 18 tools.
These attack patterns abuse exactly the kind of access scout.school_district 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.
Look up public schools in a zip code via the National Center for Education Statistics (NCES) Common Core of Data. Returns up to 25 schools (elementary/middle/high) with grade level, enrollment, district, and a Department of Education NCES ID. Useful for buyer queries like 'is this a good school zone?'. Free, all 50 states.. It is categorised as a Read tool in the Scout MCP Server, which means it retrieves data without modifying state.
Register the Scout MCP server in PolicyLayer and add a rule for scout.school_district: 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 Scout. Nothing to install.
scout.school_district 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 scout.school_district 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 scout.school_district. 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.
scout.school_district is provided by the Scout MCP server (https://scout.realestate/api/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 18 Scout tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
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