# training_review

Review and approve/reject training pairs. Example: training_review({ pair_id:

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

## Facts

- Tool: `training_review`
- 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_review",
    "arguments": {}
  }
}
```

## Why training_review is rated Medium

This tool changes the status/disposition of training pairs (approve or reject), which is a reversible state modification (Write). It does not delete data, execute code, or involve financial transactions. Severity is medium because misuse could corrupt or bias training datasets, but the action appears reversible.

From the tool's own definition: "'Review and approve/reject training pairs' — modifies the state of training data pairs by approving or rejecting them"

## Use case

AI agents use training_review 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_review": {
      "limits": [
        {
          "counter": "training_review_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