Low Risk

get_penalties

Return penalty info for Directive 2023/970 violations (Art. 18, 23). Accepts: evg_missing | art7_no_response | art16_no_report. Zwraca informacje o karach za naruszenia Dyrektywy UE 2023/970.

Part of the Gaproll server.

get_penalties 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_penalties to retrieve information from Gaproll 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_penalties 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_penalties": {}
  }
}

See the full Gaproll policy for all 3 tools.

Get this rule live on your own Gaproll 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 get_penalties 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_penalties 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_penalties tool do? +

Return penalty info for Directive 2023/970 violations (Art. 18, 23). Accepts: evg_missing | art7_no_response | art16_no_report. Zwraca informacje o karach za naruszenia Dyrektywy UE 2023/970.. It is categorised as a Read tool in the Gaproll MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_penalties? +

Register the Gaproll MCP server in PolicyLayer and add a rule for get_penalties: 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 Gaproll. Nothing to install.

What risk level is get_penalties? +

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

Can I rate-limit get_penalties? +

Yes. Add a rate_limit block to the get_penalties 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_penalties completely? +

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

get_penalties is provided by the Gaproll MCP server (bartek-ywte/gaproll). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Gaproll tool call.

Deterministic rules across all 3 Gaproll tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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