Extract named entities from a C64 document using AI. Identifies hardware (SID, VIC-II, CIA, 6502), memory addresses ($D000), assembly instructions (LDA, STA), people, companies, products, and technical concepts. Returns entities with type, confidence score, and context. Requires LLM configuration.
AI agents call extract_entities to retrieve information from TDZ C64 Knowledge without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is a pure information extraction and analysis tool. It analyzes existing documentation to identify and classify entities, returning metadata about those entities. There are no side effects, no data modification, no code execution on user systems, and no destructive or financial operations. The tool requires LLM configuration but only uses it for classification, not execution of arbitrary commands.
From the tool's definition Tool description explicitly states it 'Extract[s] named entities from a C64 document' and 'Identifies hardware, memory addresses, assembly instructions, people, companies, products, and technical concepts' with 'Returns entities with type, confidence score,…
Attacks that exploit this kind of access
Extract named entities from a C64 document using AI. Identifies hardware (SID, VIC-II, CIA, 6502), memory addresses ($D000), assembly instructions (LDA, STA), people, companies, products, and technical concepts. Returns entities with type, confidence score, and context. Requires LLM configuration. 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 extract_entities: 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.
extract_entities 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_entities 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_entities. 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_entities 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.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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