extract_knowledge
AI agents call extract_knowledge to retrieve information from Adaptive Agent without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool name indicates extraction/retrieval of knowledge from memory or knowledge graphs, which is a Read operation. However, the description is empty, which reduces confidence. The sibling tools include both read operations (query_knowledge, query_knowledge_graph, get_period_context) and write operations (add_knowledge_relation, append_daily_log), suggesting this server handles mixed operations.
From the tool's definition Tool name 'extract_knowledge' suggests data retrieval. Server context shows this is a RAG system where tools like 'query_knowledge' and 'query_knowledge_graph' retrieve information; 'extract_knowledge' likely performs similar read operations on stored…
Attacks that exploit this kind of access
extract_knowledge. It is categorised as a Read tool in the Adaptive Agent MCP Server, which means it retrieves data without modifying state.
Register the Adaptive Agent MCP server in PolicyLayer and add a rule for extract_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 Adaptive Agent. Nothing to install.
extract_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 extract_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 extract_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.
extract_knowledge is provided by the Adaptive Agent MCP server (justforever17/adaptive-agent-mcp). 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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