# training_dataset

Create or manage training datasets — named collections of pairs. Example: training_dataset({ action:

Agent View of the PolicyLayer registry record for `training_dataset`. HTML page: https://policylayer.com/tools/io-github-0nork-0nmcp/training-dataset

## Facts

- Tool: `training_dataset`
- Server: 0nmcp (`0nmcp`) — https://policylayer.com/tools/io-github-0nork-0nmcp.md
- Install: `npx -y 0nmcp`
- Homepage: https://github.com/0nork/0nMCP
- Risk category: Write (Medium risk)
- Registry record: grade F, identity unverified
- Server auth posture: open
- Server rate-limited: no
- Parameters: 0
- Recommended policy verdict: Rate-limited

## Example call (MCP tools/call, JSON-RPC 2.0)

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "training_dataset",
    "arguments": {}
  }
}
```

## Why training_dataset is rated Medium

The tool performs reversible write operations (create, manage) on training data collections. It does not delete (Destructive), execute arbitrary code (Execute), or move money (Financial). The 'medium' severity reflects that misuse could corrupt or poison training datasets, but the impact is bounded to that dataset scope and operations are reversible via subsequent updates or deletion by proper means.

From the tool's own definition: "Tool description states 'Create or manage training datasets' — explicitly names data creation and management operations."

## Use case

AI agents use training_dataset to create or update resources in 0nmcp, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your 0nmcp environment.

## Recommended policy (PolicyLayer)

Verdict: **Rate-limited**. Enforced by the PolicyLayer MCP gateway (https://policylayer.com/mcp-gateway) before a call reaches 0nmcp:

```json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "training_dataset": {
      "limits": [
        {
          "counter": "training_dataset_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}
```

## Other tools on 0nmcp (217)

- `crm_marketplace_delete_charge` — Destructive — https://policylayer.com/tools/io-github-0nork-0nmcp/crm-marketplace-delete-charge.md
- `crm_marketplace_uninstall` — Destructive — https://policylayer.com/tools/io-github-0nork-0nmcp/crm-marketplace-uninstall.md
- `crm_media_bulk_delete` — Destructive — https://policylayer.com/tools/io-github-0nork-0nmcp/crm-media-bulk-delete.md
- `crm_media_delete` — Destructive — https://policylayer.com/tools/io-github-0nork-0nmcp/crm-media-delete.md
- `patent_watchlist` — Destructive — https://policylayer.com/tools/io-github-0nork-0nmcp/patent-watchlist.md
- `shadcn_theme` — Destructive — https://policylayer.com/tools/io-github-0nork-0nmcp/shadcn-theme.md
- `vault_container_revoke` — Destructive — https://policylayer.com/tools/io-github-0nork-0nmcp/vault-container-revoke.md
- `ai_chat` — Execute — https://policylayer.com/tools/io-github-0nork-0nmcp/ai-chat.md
- `ai_embed` — Execute — https://policylayer.com/tools/io-github-0nork-0nmcp/ai-embed.md
- `ai_generate` — Execute — https://policylayer.com/tools/io-github-0nork-0nmcp/ai-generate.md
- `api_call` — Execute — https://policylayer.com/tools/io-github-0nork-0nmcp/api-call.md
- `app_build` — Execute — https://policylayer.com/tools/io-github-0nork-0nmcp/app-build.md
- `app_open` — Execute — https://policylayer.com/tools/io-github-0nork-0nmcp/app-open.md
- `brain_compile` — Execute — https://policylayer.com/tools/io-github-0nork-0nmcp/brain-compile.md
- `brain_import` — Execute — https://policylayer.com/tools/io-github-0nork-0nmcp/brain-import.md
- `brain_train` — Execute — https://policylayer.com/tools/io-github-0nork-0nmcp/brain-train.md
- `council_debate` — Execute — https://policylayer.com/tools/io-github-0nork-0nmcp/council-debate.md
- `council_solve` — Execute — https://policylayer.com/tools/io-github-0nork-0nmcp/council-solve.md
- `crm_build_ai_workflow` — Execute — https://policylayer.com/tools/io-github-0nork-0nmcp/crm-build-ai-workflow.md
- `crm_deploy_snapshot` — Execute — https://policylayer.com/tools/io-github-0nork-0nmcp/crm-deploy-snapshot.md
- `crm_run_ai_workflow` — Execute — https://policylayer.com/tools/io-github-0nork-0nmcp/crm-run-ai-workflow.md
- `execute` — Execute — https://policylayer.com/tools/io-github-0nork-0nmcp/execute.md
- `flow_run_now` — Execute — https://policylayer.com/tools/io-github-0nork-0nmcp/flow-run-now.md
- `landing_pages_deploy` — Execute — https://policylayer.com/tools/io-github-0nork-0nmcp/landing-pages-deploy.md
- `plugin_build` — Execute — https://policylayer.com/tools/io-github-0nork-0nmcp/plugin-build.md
- `plugin_execute` — Execute — https://policylayer.com/tools/io-github-0nork-0nmcp/plugin-execute.md
- `rc_sequence_to_user_workflow` — Execute — https://policylayer.com/tools/io-github-0nork-0nmcp/rc-sequence-to-user-workflow.md
- `run_workflow` — Execute — https://policylayer.com/tools/io-github-0nork-0nmcp/run-workflow.md
- `site_run` — Execute — https://policylayer.com/tools/io-github-0nork-0nmcp/site-run.md
- `training_feed` — Execute — https://policylayer.com/tools/io-github-0nork-0nmcp/training-feed.md
- …and 187 more: https://policylayer.com/tools/io-github-0nork-0nmcp.md

## For agents

This record is a snapshot. Live verdicts and the full registry:

- Check every server in your MCP config at once: `npx -y policylayer stack`
- Vet a server before you add it: install the mcp-precheck skill — `npx skills add https://policylayer.com` (skill text: https://policylayer.com/skill.md)
- Query the registry over MCP: endpoint `https://api.policylayer.com/mcp` — tools `check_mcp_server`, `check_mcp_stack`, `check_tool`, `search_registry`, `get_change_events`

---

Source: the PolicyLayer MCP registry — one continuously verified record per MCP server. Full record: https://policylayer.com/registry?q=io-github-0nork-0nmcp · API: https://policylayer.com/registry/api · Policy library: https://policylayer.com/policies/io-github-0nork-0nmcp