Low Risk

app-store-suggest

Get search suggestions from the App Store. Returns an array of objects with:\n

How to control app-store-suggest ↓

What app-store-suggest does on App Market Intelligence MCP

AI agents call app-store-suggest to retrieve information from App Market Intelligence MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why app-store-suggest needs a policy

This tool queries and retrieves search suggestion data from the App Store, which is a read-only operation. It has no ability to modify, delete, execute code, or create side effects. The data returned is informational only (search suggestions/autocomplete). The blast radius of misuse is minimal—an attacker could only enumerate or explore search terms, with no impact on data integrity, user accounts, or operations.

From the tool's definition Tool name 'app-store-suggest' and description indicate it 'Get[s] search suggestions from the App Store' and 'Returns an array of objects'. This is a query operation that retrieves autocomplete/suggestion data with no side effects.

Documented attack patterns abuse exactly the kind of access app-store-suggest gives an agent:

How to control app-store-suggest

PolicyLayer is an MCP gateway — it sits between your AI agents and App Market Intelligence MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for app-store-suggest:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "app-store-suggest": {}
  }
}

app-store-suggest is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register App Market Intelligence MCP — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about app-store-suggest

What does the app-store-suggest tool do? +

Get search suggestions from the App Store. Returns an array of objects with:\n. It is categorised as a Read tool in the App Market Intelligence MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on app-store-suggest? +

Register the App Market Intelligence MCP server in PolicyLayer and add a rule for app-store-suggest: 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 App Market Intelligence MCP. Nothing to install.

What risk level is app-store-suggest? +

app-store-suggest is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit app-store-suggest? +

Yes. Add a rate_limit block to the app-store-suggest 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 app-store-suggest completely? +

Set action: deny in the PolicyLayer policy for app-store-suggest. 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 app-store-suggest? +

app-store-suggest is provided by the App Market Intelligence MCP server (jiantaofu/appinsightmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every App Market Intelligence MCP tool call.

Start from App Market Intelligence MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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20 App Market Intelligence MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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