Low Risk

get_enforcement_decisions

Get enforcement decisions with structured penalty data. Returns enforcement actions (fines, warnings, license withdrawals) imposed by regulators. Each action includes penalty amount, sanctioned entity, violation categories, and appeal status. Use this to answer questions like: - "What fines has F...

Part of the Velvoite — EU Financial Regulatory Compliance server.

get_enforcement_decisions 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 get_enforcement_decisions to retrieve information from Velvoite — EU Financial Regulatory Compliance 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_enforcement_decisions 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": {
    "get_enforcement_decisions": {}
  }
}

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

Browse the full MCP Attack Database →

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

Get enforcement decisions with structured penalty data. Returns enforcement actions (fines, warnings, license withdrawals) imposed by regulators. Each action includes penalty amount, sanctioned entity, violation categories, and appeal status. Use this to answer questions like: - "What fines has FIN-FSA given to credit institutions?" - "What are the largest penalties for AML violations?" - "Has anyone been fined for ICT risk management failures?" - "What's the total penalty exposure for my entity type?" Combine with get_company_profile to find enforcement actions relevant to the caller's entity type and regulations. Args: regulation: Filter by regulation code (e.g. 'aml', 'dora', 'mifid2', 'gdpr', 'crd_crr'). entity_type: Filter by sanctioned entity type (e.g. 'credit_institution', 'investment_firm', 'crypto_service'). authority: Filter by sanction authority (e.g. 'FIN-FSA', 'ECB', 'Data Protection Ombudsman'). penalty_min: Minimum penalty amount in EUR (e.g. 1000000 for fines >= EUR 1M). violation_category: Filter by violation type (e.g. 'aml_cdd', 'ict_risk', 'sca', 'governance', 'conduct'). page: Page number (default 1). per_page: Results per page (default 20, max 100).. It is categorised as a Read tool in the Velvoite — EU Financial Regulatory Compliance MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_enforcement_decisions? +

Register the Velvoite — EU Financial Regulatory Compliance MCP server in PolicyLayer and add a rule for get_enforcement_decisions: 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 Velvoite — EU Financial Regulatory Compliance. Nothing to install.

What risk level is get_enforcement_decisions? +

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

Can I rate-limit get_enforcement_decisions? +

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

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

get_enforcement_decisions is provided by the Velvoite — EU Financial Regulatory Compliance MCP server (https://mcp.velvoite.eu/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Velvoite — EU Financial Regulatory Compliance tool call.

Deterministic rules across all 22 Velvoite — EU Financial Regulatory Compliance tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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