Low Risk

get_nlt_offer_details

Dettaglio completo di una singola offerta NLT (catalogo Noleggio Lungo Termine). Espone tutto quello che search_nlt_offers ritorna nel hit + extra: - description_full (descrizione_ai completa) - image_url + gallery (foto multiple veicolo) - quotazioni[] (18 combinazioni durata×km/anno) - anticipo...

Part of the DealerMax server.

get_nlt_offer_details 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_nlt_offer_details to retrieve information from DealerMax 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_nlt_offer_details 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_nlt_offer_details": {}
  }
}

See the full DealerMax policy for all 7 tools.

Get this rule live on your own DealerMax 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_nlt_offer_details gives an agent. Each links to the full case and the policy that stops it:

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

Dettaglio completo di una singola offerta NLT (catalogo Noleggio Lungo Termine). Espone tutto quello che search_nlt_offers ritorna nel hit + extra: - description_full (descrizione_ai completa) - image_url + gallery (foto multiple veicolo) - quotazioni[] (18 combinazioni durata×km/anno) - anticipo_scenari_eur (3 importi EUR: zero/medio/standard) - tags[] categoria (es. Promo, Stock pronto, GreenChoice) - accessori_inclusi[] dell'offerta - network_offers[] (tutti i pioneer DealerMax con loro canone) Usa dopo search_nlt_offers quando l'utente vuole approfondire una specifica offerta. Esempio: utente chiede "dimmi tutto sulla BMW X1 sDrive18d 36 mesi" → passa lo slug dell'offerta a questo tool. Args: slug: Slug univoco dell'offerta NLT (es. "bmw-x1-sdrive18d-business"). Recuperato dal campo slug di un hit di search_nlt_offers.. It is categorised as a Read tool in the DealerMax MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_nlt_offer_details? +

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

What risk level is get_nlt_offer_details? +

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

Can I rate-limit get_nlt_offer_details? +

Yes. Add a rate_limit block to the get_nlt_offer_details 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_nlt_offer_details completely? +

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

get_nlt_offer_details is provided by the DealerMax MCP server (https://mcp.dealermax.app/mcp/). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every DealerMax tool call.

Deterministic rules across all 7 DealerMax tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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