# submit_feedback

A other tool on the Adia Ai MCP server.

Agent View of the PolicyLayer registry record for `submit_feedback`. HTML page: https://policylayer.com/tools/adia-ai-mcp/submit-feedback

## Facts

- Tool: `submit_feedback`
- Server: Adia Ai (`@adia-ai/mcp`) — https://policylayer.com/tools/adia-ai-mcp.md
- Install: `npx -y @adia-ai/mcp`
- Homepage: https://www.npmjs.com/package/@adia-ai/mcp
- Risk category: Other (Low risk)
- Registry record: grade C, 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": "submit_feedback",
    "arguments": {}
  }
}
```

## Why submit_feedback is rated Low

The name 'submit_feedback' suggests sending user feedback, which is a benign write-like operation at most. However, with no description available, the exact behavior is unknown. Given the context of an infrastructure management server, it's unlikely to be destructive or financial. Confidence is low due to the empty description, but the most plausible interpretation is a low-risk feedback submission action.

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

## Use case

AI agents call submit_feedback as a supporting operation in Adia Ai workflows.

## Recommended policy (PolicyLayer)

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

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

## Other tools on Adia Ai (42)

- `run_eval` — Execute — https://policylayer.com/tools/adia-ai-mcp/run-eval.md
- `assemble_context` — Read — https://policylayer.com/tools/adia-ai-mcp/assemble-context.md
- `audit_structure` — Read — https://policylayer.com/tools/adia-ai-mcp/audit-structure.md
- `check_anti_patterns` — Read — https://policylayer.com/tools/adia-ai-mcp/check-anti-patterns.md
- `classify_intent` — Read — https://policylayer.com/tools/adia-ai-mcp/classify-intent.md
- `compose_from_chunks` — Read — https://policylayer.com/tools/adia-ai-mcp/compose-from-chunks.md
- `factory_status` — Read — https://policylayer.com/tools/adia-ai-mcp/factory-status.md
- `get_catalog_ladder` — Read — https://policylayer.com/tools/adia-ai-mcp/get-catalog-ladder.md
- `get_catalog_tiers` — Read — https://policylayer.com/tools/adia-ai-mcp/get-catalog-tiers.md
- `get_chunk` — Read — https://policylayer.com/tools/adia-ai-mcp/get-chunk.md
- `get_component_map` — Read — https://policylayer.com/tools/adia-ai-mcp/get-component-map.md
- `get_composition` — Read — https://policylayer.com/tools/adia-ai-mcp/get-composition.md
- `get_graph` — Read — https://policylayer.com/tools/adia-ai-mcp/get-graph.md
- `get_quality_metrics` — Read — https://policylayer.com/tools/adia-ai-mcp/get-quality-metrics.md
- `get_registry_map` — Read — https://policylayer.com/tools/adia-ai-mcp/get-registry-map.md
- `get_state` — Read — https://policylayer.com/tools/adia-ai-mcp/get-state.md
- `get_training_gaps` — Read — https://policylayer.com/tools/adia-ai-mcp/get-training-gaps.md
- `get_traits` — Read — https://policylayer.com/tools/adia-ai-mcp/get-traits.md
- `get_wiring_catalog` — Read — https://policylayer.com/tools/adia-ai-mcp/get-wiring-catalog.md
- `get_wiring_registry` — Read — https://policylayer.com/tools/adia-ai-mcp/get-wiring-registry.md
- `list_patterns` — Read — https://policylayer.com/tools/adia-ai-mcp/list-patterns.md
- `lookup_chunk` — Read — https://policylayer.com/tools/adia-ai-mcp/lookup-chunk.md
- `lookup_component` — Read — https://policylayer.com/tools/adia-ai-mcp/lookup-component.md
- `orient_app` — Read — https://policylayer.com/tools/adia-ai-mcp/orient-app.md
- `protocol_status` — Read — https://policylayer.com/tools/adia-ai-mcp/protocol-status.md
- `refine_ui` — Read — https://policylayer.com/tools/adia-ai-mcp/refine-ui.md
- `scaffold_app` — Read — https://policylayer.com/tools/adia-ai-mcp/scaffold-app.md
- `scaffold_page` — Read — https://policylayer.com/tools/adia-ai-mcp/scaffold-page.md
- `search_chunks` — Read — https://policylayer.com/tools/adia-ai-mcp/search-chunks.md
- `search_patterns` — Read — https://policylayer.com/tools/adia-ai-mcp/search-patterns.md
- …and 12 more: https://policylayer.com/tools/adia-ai-mcp.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=adia-ai-mcp · API: https://policylayer.com/registry/api · Policy library: https://policylayer.com/policies/adia-ai-mcp