Build a paid enhanced due diligence memo for a wallet set using exact-match OFAC screening, sanctions evidence, and follow-up actions, returning structured JSON or an inline PDF/DOCX artifact. Use this for case handoff; use wallet_ofac_batch for screening-only results or report_pdf_generate/repor...
Risk signalsHigh parameter count (10 properties)
Part of the AurelianFlo server.
Free to start. No card required.
AI agents invoke compliance_edd_report to trigger processes or run actions in AurelianFlo. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.
compliance_edd_report can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.
Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.
{
"version": "1",
"default": "deny",
"tools": {
"compliance_edd_report": {
"limits": [
{
"counter": "compliance_edd_report_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}See the full AurelianFlo policy for all 11 tools.
These attack patterns abuse exactly the kind of access compliance_edd_report gives an agent. Each links to the full case and the policy that stops it:
Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Build a paid enhanced due diligence memo for a wallet set using exact-match OFAC screening, sanctions evidence, and follow-up actions, returning structured JSON or an inline PDF/DOCX artifact. Use this for case handoff; use wallet_ofac_batch for screening-only results or report_pdf_generate/report_docx_generate only when the report payload already exists.. It is categorised as a Execute tool in the AurelianFlo MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the AurelianFlo MCP server in PolicyLayer and add a rule for compliance_edd_report: 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 AurelianFlo. Nothing to install.
compliance_edd_report is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the compliance_edd_report 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 compliance_edd_report. 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.
compliance_edd_report is provided by the AurelianFlo MCP server (https://api.aurelianflo.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 11 AurelianFlo tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
4,600+ MCP servers and 31,000+ tools scanned and risk-classified.