plan_app_state

SERVERAdia Ai SOURCE@adia-ai/mcp

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade C, identity unverified Pull the record →

This record as markdown: /tools/adia-ai-mcp/plan-app-state.md

WHAT IT DOES

What plan_app_state does on Adia Ai

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.

RISK

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.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs plan_app_state safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Adia Ai, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For plan_app_state, this is the rule to start with:

plan_app_state Rate-limited

plan_app_state stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "plan_app_state": {
      "limits": [
        {
          "counter": "plan_app_state_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Adia Ai, apply this rule, and every plan_app_state call is checked against it from then on.

FAQ

Questions about plan_app_state

What does the plan_app_state tool do? +

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. It is categorised as a Write tool in the Adia Ai MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on plan_app_state? +

Register the Adia Ai MCP server in PolicyLayer and add a rule for plan_app_state: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Adia Ai. Nothing to install.

What risk level is plan_app_state? +

plan_app_state is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit plan_app_state? +

Yes. Add a rate_limit block to the plan_app_state rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block plan_app_state completely? +

Set action: deny in the PolicyLayer policy for plan_app_state. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides plan_app_state? +

plan_app_state is provided by the Adia Ai MCP server (@adia-ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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