training_search

Search training sources and pairs by keyword or domain. Example: training_search({ query:

SERVER0nmcp SOURCE0nmcp

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-0nork-0nmcp/training-search.md

WHAT IT DOES

What training_search does on 0nmcp

AI agents call training_search 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.

RISK

Why training_search is rated Low

This tool performs a search operation to retrieve training sources and pairs based on user-provided keywords or domains. It is a read-only operation that retrieves or queries data without side effects, making it a Read category tool. The low severity reflects minimal blast radius—misuse would only return unwanted training data, not cause destructive, financial, or operational harm.

From the tool's definition Tool name 'training_search' and description 'Search training sources and pairs by keyword or domain' indicates a query/retrieval operation with no mention of modification, deletion, or execution capabilities.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs training_search 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_search, this is the rule to start with:

training_search Allowed

training_search is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "training_search": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect 0nmcp, apply this rule, and every training_search call is checked against it from then on.

FAQ

Questions about training_search

What does the training_search tool do? +

Search training sources and pairs by keyword or domain. Example: training_search({ query:. It is categorised as a Read tool in the 0nmcp MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on training_search? +

Register the 0n MCP server in PolicyLayer and add a rule for training_search: 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.

What risk level is training_search? +

training_search is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit training_search? +

Yes. Add a rate_limit block to the training_search 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.

How do I block training_search completely? +

Set action: deny in the PolicyLayer policy for training_search. 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.

What MCP server provides training_search? +

training_search 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.

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