query_knowledge_base
Search your knowledge base using semantic and keyword search. Returns relevant document chunks with source attribution. Use this to find information from your uploaded documents. By default searches both personal and team documents.
This record as markdown: /tools/flowdot-llc-mcp-server/query-knowledge-base.md
What query_knowledge_base does on FlowDot MCP Server
AI agents call query_knowledge_base to retrieve information from FlowDot MCP Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why query_knowledge_base is rated Low
This tool queries and retrieves data from a knowledge base without creating, modifying, deleting, or executing operations. It is a straightforward search/retrieval function with no ability to alter state or trigger external actions. The blast radius of misuse is minimal — at worst, an AI agent could retrieve sensitive documents it shouldn't access, but cannot create, destroy, or execute anything.
From the tool's definition Tool description explicitly states it "Search[es] your knowledge base" and "Returns relevant document chunks" — pure retrieval with "no side effects". The verb "search" and "find information" confirm read-only operations.
Attacks that exploit this kind of access
The rule that runs query_knowledge_base safely
PolicyLayer is an MCP gateway: it sits between your AI agents and FlowDot MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For query_knowledge_base, this is the rule to start with:
query_knowledge_base is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect FlowDot MCP Server, apply this rule, and every query_knowledge_base call is checked against it from then on.
Questions about query_knowledge_base
Search your knowledge base using semantic and keyword search. Returns relevant document chunks with source attribution. Use this to find information from your uploaded documents. By default searches both personal and team documents. It is categorised as a Read tool in the FlowDot MCP Server MCP Server, which means it retrieves data without modifying state.
Register the FlowDot MCP Server 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 FlowDot MCP Server. Nothing to install.
query_knowledge_base 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 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.
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.
query_knowledge_base is provided by the FlowDot MCP Server MCP server (flowdot-llc/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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