Low Risk

answer_faq

Детерминированный поиск ответа по базе частых вопросов об оценке (стоимость, документы, сроки, приём в банках, удалённая оценка). Без ИИ-генерации.

Risk signalsAccepts freeform code/query input (query)

Part of the Value Pro Mcp server.

answer_faq 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 answer_faq 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 answer_faq 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": {
    "answer_faq": {}
  }
}

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 answer_faq 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 answer_faq 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 answer_faq tool do? +

Детерминированный поиск ответа по базе частых вопросов об оценке (стоимость, документы, сроки, приём в банках, удалённая оценка). Без ИИ-генерации.. 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 answer_faq? +

Register the Value Pro MCP server in PolicyLayer and add a rule for answer_faq: 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 answer_faq? +

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

Can I rate-limit answer_faq? +

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

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

answer_faq 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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