# optimize_with_generated_training

A other tool on the GEPA MCP Server MCP server.

Agent View of the PolicyLayer registry record for `optimize_with_generated_training`. HTML page: https://policylayer.com/tools/developzir-gepa-mcp/optimize-with-generated-training

## Facts

- Tool: `optimize_with_generated_training`
- Server: GEPA MCP Server (`developzir/gepa-mcp`) — https://policylayer.com/tools/developzir-gepa-mcp.md
- Homepage: https://github.com/developzir/gepa-mcp
- Risk category: Other (Low risk)
- Registry record: grade F, identity unverified
- 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": "optimize_with_generated_training",
    "arguments": {}
  }
}
```

## Why optimize_with_generated_training is rated Low

The description is empty, so the exact behavior cannot be determined. Based on the name and server context (prompt optimization), it likely generates training data and optimizes prompts, which would be a Write or Execute operation. However, without confirmation, confidence is low and defaulting to Other is most appropriate.

From the tool's own definition: "Tool name is 'optimize_with_generated_training'; description is empty or uninformative."

## Use case

AI agents call optimize_with_generated_training as a supporting operation in GEPA MCP Server workflows.

## Recommended policy (PolicyLayer)

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

```json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "optimize_with_generated_training": {
      "limits": [
        {
          "counter": "optimize_with_generated_training_rate",
          "window": "minute",
          "max": 60,
          "scope": "grant"
        }
      ]
    }
  }
}
```

## Other tools on GEPA MCP Server (11)

- `adaptive_gepa_with_complexity` — Other — https://policylayer.com/tools/developzir-gepa-mcp/adaptive-gepa-with-complexity.md
- `auto_optimize_prompt` — Other — https://policylayer.com/tools/developzir-gepa-mcp/auto-optimize-prompt.md
- `conversational_optimize` — Other — https://policylayer.com/tools/developzir-gepa-mcp/conversational-optimize.md
- `explain_optimization` — Other — https://policylayer.com/tools/developzir-gepa-mcp/explain-optimization.md
- `gepa_with_claude_analysis` — Other — https://policylayer.com/tools/developzir-gepa-mcp/gepa-with-claude-analysis.md
- `gepa_with_conversation_patterns` — Other — https://policylayer.com/tools/developzir-gepa-mcp/gepa-with-conversation-patterns.md
- `holistic_optimize` — Other — https://policylayer.com/tools/developzir-gepa-mcp/holistic-optimize.md
- `multi_perspective_gepa` — Other — https://policylayer.com/tools/developzir-gepa-mcp/multi-perspective-gepa.md
- `optimize_prompt` — Other — https://policylayer.com/tools/developzir-gepa-mcp/optimize-prompt.md
- `quick_prompt_improve` — Other — https://policylayer.com/tools/developzir-gepa-mcp/quick-prompt-improve.md
- `transfer_optimization_patterns` — Other — https://policylayer.com/tools/developzir-gepa-mcp/transfer-optimization-patterns.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=developzir-gepa-mcp · API: https://policylayer.com/registry/api · Policy library: https://policylayer.com/policies/developzir-gepa-mcp