AI agents call knowledge to retrieve information from Kb without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool appears designed to retrieve or query knowledge from a shared context system. Given the server's purpose (storing notes and enabling persistent knowledge) and sibling tools like 'read' and 'search', this is most likely a Read operation. The empty description reduces confidence, but the tool name and server context do not suggest any write, execute, destructive, or financial capabilities.
From the tool's definition Tool name 'knowledge' on a knowledge base server with sibling tools including 'read' and 'search' suggests data retrieval. Description is empty, limiting certainty.
Attacks that exploit this kind of access
knowledge. It is categorised as a Read tool in the Kb MCP Server, which means it retrieves data without modifying state.
Register the Kb MCP server in PolicyLayer and add a rule for knowledge: 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 Kb. Nothing to install.
knowledge is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the knowledge 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.
Set action: deny in the PolicyLayer policy for knowledge. 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.
knowledge is provided by the Kb MCP server (okash1n/kb). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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