Search for apps on the App Store. Returns a list of apps with the following fields:\n
AI agents call app-store-search 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.
This tool queries and retrieves application data from the App Store—a read-only operation that searches and lists results. It has no side effects, does not execute code, does not modify data, and does not delete or move resources. The blast radius of misuse is minimal; worst case an agent performs excessive queries against the API.
From the tool's definition Tool name 'app-store-search' and description 'Search for apps on the App Store. Returns a list of apps' indicate a data retrieval operation with no modification or execution of code.
Documented attack patterns abuse exactly the kind of access app-store-search gives an agent:
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-search:
{
"version": "1",
"default": "deny",
"tools": {
"app-store-search": {}
}
}app-store-search is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Search for apps on the App Store. Returns a list of apps with the following fields:\n. It is categorised as a Read tool in the App Market Intelligence MCP MCP Server, which means it retrieves data without modifying state.
Register the App Market Intelligence MCP server in PolicyLayer and add a rule for app-store-search: 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.
app-store-search is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the app-store-search 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.
Set action: deny in the PolicyLayer policy for app-store-search. 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.
app-store-search 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.
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.