Low Risk

answer

Returns an LLM-synthesised answer from the retrieval results. Good when you want a concise answer in one call. Uses the LLM of the mcp server to generate an answer from a knowledge base and return it with citations. Server AI must generate the answer and that increases token volume for this LLM.

How to control answer ↓

AI agents call answer to retrieve information from Knowledge without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

This tool queries a knowledge base and synthesizes an answer from retrieval results. It has no side effects on data—it only reads from and retrieves information from the knowledge base. The increased token volume mentioned is a computational cost, not a data mutation or destructive operation. This clearly falls under the Read category (retrieves/queries data with no side effects).

From the tool's definition Tool description states it 'Returns an LLM-synthesised answer from the retrieval results' and 'generate an answer from a knowledge base and return it with citations.' The verb 'returns' and 'retrieve' operations are read-only.

Documented attack patterns abuse exactly the kind of access answer gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and Knowledge, and nothing reaches the server without passing your rules. This is the rule we recommend for answer:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "answer": {}
  }
}

answer is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Knowledge — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
CAP THIS TOOL →

Free to start. No card required.

Go deeper

What does the answer tool do? +

Returns an LLM-synthesised answer from the retrieval results. Good when you want a concise answer in one call. Uses the LLM of the mcp server to generate an answer from a knowledge base and return it with citations. Server AI must generate the answer and that increases token volume for this LLM. It is categorised as a Read tool in the Knowledge MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on answer? +

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

What risk level is answer? +

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

Can I rate-limit answer? +

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

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

answer is provided by the Knowledge MCP server (olafgeibig/knowledge-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Knowledge tool call.

Deterministic rules across all 6 Knowledge tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

6 Knowledge tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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