# profile_dataset

Read an uploaded CSV and return a real statistical profile.

Agent View of the PolicyLayer registry record for `profile_dataset`. HTML page: https://policylayer.com/tools/agentic-automl-platform/profile-dataset

## Facts

- Tool: `profile_dataset`
- Server: Agentic Automl Platform (`anantshri1/agentic-automl-platform`) — https://policylayer.com/tools/agentic-automl-platform.md
- Homepage: https://github.com/anantshri1/agentic-automl-platform
- Risk category: Read (Low risk)
- Registry record: grade C, identity unverified
- Server rate-limited: no
- Parameters: 0
- Recommended policy verdict: Allowed

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

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

## Why profile_dataset is rated Low

This tool retrieves and analyzes data from a CSV file to generate statistical summaries (profile). It performs no write, delete, execute, or financial operations. The output is informational only. Even if an agent misuses this tool, the blast radius is minimal—it cannot modify data, execute arbitrary code, or cause destructive outcomes.

From the tool's own definition: "Tool description states 'Read an uploaded CSV and return a real statistical profile' — the verb 'Read' and the action of returning statistical analysis indicate data retrieval with no modification or side effects."

## Use case

AI agents call profile_dataset to retrieve information from Agentic Automl Platform without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

## Recommended policy (PolicyLayer)

Verdict: **Allowed**. Enforced by the PolicyLayer MCP gateway (https://policylayer.com/mcp-gateway) before a call reaches Agentic Automl Platform:

```json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "profile_dataset": {}
  }
}
```

## Other tools on Agentic Automl Platform (13)

- `evaluate_ffn` — Execute — https://policylayer.com/tools/agentic-automl-platform/evaluate-ffn.md
- `hyperparameter_search` — Execute — https://policylayer.com/tools/agentic-automl-platform/hyperparameter-search.md
- `train_ffn` — Execute — https://policylayer.com/tools/agentic-automl-platform/train-ffn.md
- `train_lstm` — Execute — https://policylayer.com/tools/agentic-automl-platform/train-lstm.md
- `train_model` — Execute — https://policylayer.com/tools/agentic-automl-platform/train-model.md
- `train_transformer` — Execute — https://policylayer.com/tools/agentic-automl-platform/train-transformer.md
- `my_tool` — Other — https://policylayer.com/tools/agentic-automl-platform/my-tool.md
- `check_class_balance` — Read — https://policylayer.com/tools/agentic-automl-platform/check-class-balance.md
- `detect_problem_type` — Read — https://policylayer.com/tools/agentic-automl-platform/detect-problem-type.md
- `evaluate_model` — Read — https://policylayer.com/tools/agentic-automl-platform/evaluate-model.md
- `prepare_forecast_dataset` — Read — https://policylayer.com/tools/agentic-automl-platform/prepare-forecast-dataset.md
- `clean_dataset` — Write — https://policylayer.com/tools/agentic-automl-platform/clean-dataset.md
- `reduce_dimensions` — Write — https://policylayer.com/tools/agentic-automl-platform/reduce-dimensions.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`

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Source: the PolicyLayer MCP registry — one continuously verified record per MCP server. Full record: https://policylayer.com/registry?q=agentic-automl-platform · API: https://policylayer.com/registry/api · Policy library: https://policylayer.com/policies/agentic-automl-platform