Low Risk

ask_assistant

Задаёт вопрос доменному ИИ-ассистенту ВАЛПРО и возвращает ПРЕДВАРИТЕЛЬНЫЙ ответ (advisory): только справка по оценке имущества, без оформления заявок. Ответ проходит контроль достоверности; точные условия подтверждает оператор. Может быть отключён.

Part of the Value Pro Mcp server.

ask_assistant 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 ask_assistant to retrieve information from Value Pro Mcp 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 ask_assistant 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": {
    "ask_assistant": {}
  }
}

See the full Value Pro Mcp policy for all 7 tools.

Get this rule live on your own Value Pro Mcp 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 ask_assistant 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 ask_assistant 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 ask_assistant tool do? +

Задаёт вопрос доменному ИИ-ассистенту ВАЛПРО и возвращает ПРЕДВАРИТЕЛЬНЫЙ ответ (advisory): только справка по оценке имущества, без оформления заявок. Ответ проходит контроль достоверности; точные условия подтверждает оператор. Может быть отключён.. It is categorised as a Read tool in the Value Pro Mcp MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on ask_assistant? +

Register the Value Pro MCP server in PolicyLayer and add a rule for ask_assistant: 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 Value Pro Mcp. Nothing to install.

What risk level is ask_assistant? +

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

Can I rate-limit ask_assistant? +

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

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

ask_assistant is provided by the Value Pro MCP server (https://mcp.value-pro.ru/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Value Pro Mcp tool call.

Deterministic rules across all 7 Value Pro Mcp 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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