Answer questions about C64 documentation using RAG (Retrieval-Augmented Generation). Synthesizes information from multiple sources with citations. Returns answer text with source references and confidence score.
AI agents call answer_question to retrieve information from TDZ C64 Knowledge without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs information retrieval and synthesis from indexed C64 documentation. It reads from the knowledge base to answer questions but has no side effects—it neither modifies data, executes code, deletes information, nor commits financial transactions. It is a pure query/search operation typical of RAG systems.
From the tool's definition Tool description states it 'Answer questions about C64 documentation using RAG' and 'Returns answer text with source references and confidence score.' The function synthesizes and retrieves information from existing documentation without modifying, creating,…
Attacks that exploit this kind of access
Answer questions about C64 documentation using RAG (Retrieval-Augmented Generation). Synthesizes information from multiple sources with citations. Returns answer text with source references and confidence score. It is categorised as a Read tool in the TDZ C64 Knowledge MCP Server, which means it retrieves data without modifying state.
Register the TDZ C64 Knowledge MCP server in PolicyLayer and add a rule for answer_question: 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 TDZ C64 Knowledge. Nothing to install.
answer_question 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 answer_question 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 answer_question. 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.
answer_question is provided by the TDZ C64 Knowledge MCP server (michaeltroelsen/tdz-c64-knowledge). 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.
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