# resolve_composition

Return the flat A2UI template + updateComponents messages for a composition. Zettel-only. (Pre-inlined since \xA737 \u2014

Agent View of the PolicyLayer registry record for `resolve_composition`. HTML page: https://policylayer.com/tools/adia-ai-mcp/resolve-composition

## Facts

- Tool: `resolve_composition`
- 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": "resolve_composition",
    "arguments": {}
  }
}
```

## Why resolve_composition is rated Medium

An AI agent can call resolve_composition 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 resolve_composition 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": {
    "resolve_composition": {
      "limits": [
        {
          "counter": "resolve_composition_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