query_knowledge_base

THE RISK

Low Risk

Why query_knowledge_base needs a policy

Despite the empty description, the tool name 'query' combined with 'knowledge_base' in a RAG-enabled server context indicates a read-only query operation. Queries typically retrieve and present information without side effects. Confidence is slightly reduced due to lack of explicit description, but the semantic meaning of the name is clear.

From the tool's definition Tool name 'query_knowledge_base' indicates a retrieval operation against stored knowledge. The description is empty, but the name and context of a RAG (Retrieval-Augmented Generation) server strongly suggest data retrieval without modification.

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

POLICY

How to control query_knowledge_base

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

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "query_knowledge_base": {}
  }
}

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

Create a free account and register A-Modular-Kingdom — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

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EXPLORE

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about query_knowledge_base

What does the query_knowledge_base tool do? +

query_knowledge_base. It is categorised as a Read tool in the A-Modular-Kingdom MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on query_knowledge_base? +

Register the A-Modular-Kingdom MCP server in PolicyLayer and add a rule for query_knowledge_base: 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 A-Modular-Kingdom. Nothing to install.

What risk level is query_knowledge_base? +

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

Can I rate-limit query_knowledge_base? +

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

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

query_knowledge_base is provided by the A-Modular-Kingdom MCP server (masihmoafi/a-modular-kingdom). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every A-Modular-Kingdom tool call.

Start from A-Modular-Kingdom, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →