AI agents call rpc_list_apps to retrieve information from Rpcclient without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves information about installed applications on an iOS device. It performs no modifications, deletions, or external operations. Listing apps is a read-only information retrieval action with minimal blast radius if misused by an AI agent, as it does not alter system state or user data.
From the tool's definition Tool name is 'rpc_list_apps' and description states 'List installed apps by fuzzy name/bundle matching' — a pure query operation with no side effects.
Attacks that exploit this kind of access
List installed apps by fuzzy name/bundle matching. It is categorised as a Read tool in the Rpcclient MCP Server, which means it retrieves data without modifying state.
Register the Rpcclient MCP server in PolicyLayer and add a rule for rpc_list_apps: 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 Rpcclient. Nothing to install.
rpc_list_apps 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 rpc_list_apps 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 rpc_list_apps. 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.
rpc_list_apps is provided by the Rpcclient MCP server (appknox/rpcclient-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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