# plan_app_state

Analyze a natural language prompt and extract the top-level Generative UI Ontology structures (Intent, Domain, Tasks, Experience). Use this tool BEFORE generating UI to ensure you have walked the Reasoning Ladder and properly modeled the nouns and verbs of the feature. This bounds hallucination and forces a focus on tasks over raw layouts. Honesty clause (REQ-03, gh#1208): this tool mechanizes only the Reasoning Ladder

Agent View of the PolicyLayer registry record for `plan_app_state`. HTML page: https://policylayer.com/tools/adia-ai-mcp/plan-app-state

## Facts

- Tool: `plan_app_state`
- 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: Write (Medium 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": "plan_app_state",
    "arguments": {}
  }
}
```

## Why plan_app_state is rated Medium

An AI agent can call plan_app_state faster than any human can review: one bad instruction and it creates or modifies resources in Adia Ai by the hundred, each call as confident as the last.

## Use case

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

## 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": {
    "plan_app_state": {
      "limits": [
        {
          "counter": "plan_app_state_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}
```

## Other tools on Adia Ai (42)

- `run_eval` — Execute — https://policylayer.com/tools/adia-ai-mcp/run-eval.md
- `submit_feedback` — Other — https://policylayer.com/tools/adia-ai-mcp/submit-feedback.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
- …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