Ask a question using RAG (retrieval-augmented generation).
AI agents call ask_with_context to retrieve information from Personal RAG MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and processes information from stored personal notes and documents using semantic search. It is a pure read operation with no side effects—it queries the RAG index to provide context-augmented answers without creating, modifying, or deleting data. The low severity reflects minimal risk if misused by an AI agent, as it can only expose information already in the user's personal knowledge base.
From the tool's definition 'Ask a question using RAG (retrieval-augmented generation)' describes a query/retrieval operation that searches stored memory to answer questions. No modification, deletion, or execution of external code is indicated.
Attacks that exploit this kind of access
Ask a question using RAG (retrieval-augmented generation). It is categorised as a Read tool in the Personal RAG MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Personal RAG MCP Server MCP server in PolicyLayer and add a rule for ask_with_context: 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 Personal RAG MCP Server. Nothing to install.
ask_with_context 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 ask_with_context 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 ask_with_context. 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.
ask_with_context is provided by the Personal RAG MCP Server MCP server (timerickson/personal-rag-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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