ppp_apply_proposal

Compute a PPP rebalance proposal, then schedule the price changes against App Store Connect.

SERVERAppstoreconnect Mcp SOURCE@akoskomuves/appstoreconnect-mcp

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-akoskomuves-appstoreconnect-mcp/ppp-apply-proposal.md

WHAT IT DOES

What ppp_apply_proposal does on Appstoreconnect Mcp

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

RISK

Why ppp_apply_proposal is rated Medium

This tool modifies pricing data in App Store Connect by scheduling price changes based on a PPP (Purchasing Power Parity) rebalance proposal. While it doesn't move money directly, it commits to future financial pricing changes that affect revenue. It is a Write operation with high severity since misconfiguration could affect pricing across multiple markets.

From the tool's definition 'schedule the price changes against App Store Connect' — applies computed PPP rebalance proposals by writing price change schedules

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs ppp_apply_proposal safely

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

ppp_apply_proposal Rate-limited

ppp_apply_proposal 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": {
    "ppp_apply_proposal": {
      "limits": [
        {
          "counter": "ppp_apply_proposal_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 Appstoreconnect Mcp, apply this rule, and every ppp_apply_proposal call is checked against it from then on.

FAQ

Questions about ppp_apply_proposal

What does the ppp_apply_proposal tool do? +

Compute a PPP rebalance proposal, then schedule the price changes against App Store Connect. It is categorised as a Write tool in the Appstoreconnect Mcp MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on ppp_apply_proposal? +

Register the Appstoreconnect MCP server in PolicyLayer and add a rule for ppp_apply_proposal: 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 Appstoreconnect Mcp. Nothing to install.

What risk level is ppp_apply_proposal? +

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

Can I rate-limit ppp_apply_proposal? +

Yes. Add a rate_limit block to the ppp_apply_proposal 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 ppp_apply_proposal completely? +

Set action: deny in the PolicyLayer policy for ppp_apply_proposal. 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 ppp_apply_proposal? +

ppp_apply_proposal is provided by the Appstoreconnect MCP server (@akoskomuves/appstoreconnect-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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