training_generate
Generate training pairs (system/user/assistant) from ingested sources. Creates high-quality Q&A pairs formatted for fine-tuning. Example: training_generate({ source_id:
This record as markdown: /tools/io-github-0nork-0nmcp/training-generate.md
What training_generate does on 0nmcp
AI agents call training_generate to retrieve information from 0nmcp without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why training_generate is rated Low
The tool generates/creates training data pairs from existing ingested sources. This is primarily a data transformation/generation operation reading from existing sources and producing structured output. It does not appear to delete data, execute code, or involve financial transactions.
From the tool's definition Generate training pairs (system/user/assistant) from ingested sources. Creates high-quality Q&A pairs formatted for fine-tuning.
Attacks that exploit this kind of access
The rule that runs training_generate safely
PolicyLayer is an MCP gateway: it sits between your AI agents and 0nmcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For training_generate, this is the rule to start with:
training_generate 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 0nmcp, apply this rule, and every training_generate call is checked against it from then on.
Questions about training_generate
Generate training pairs (system/user/assistant) from ingested sources. Creates high-quality Q&A pairs formatted for fine-tuning. Example: training_generate({ source_id:. It is categorised as a Read tool in the 0nmcp MCP Server, which means it retrieves data without modifying state.
Register the 0n MCP server in PolicyLayer and add a rule for training_generate: 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 0nmcp. Nothing to install.
training_generate 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 training_generate 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 training_generate. 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.
training_generate is provided by the 0n MCP server (0nmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on 0n, and thousands of servers like it.
This server
Across the catalogue