This record as markdown: /tools/io-github-heznpc-iconnect/ai-status.md
What ai_status does on Iconnect
AI agents call ai_status to retrieve information from Iconnect without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why ai_status is rated Low
This tool queries the status/availability of an Apple service or system. It retrieves information but does not create, modify, delete, or execute operations with side effects. The blast radius of misuse is minimal—an agent could only observe system status, which poses no immediate risk to data integrity, security, or financial impact.
From the tool's definition Tool name 'ai_status' with description 'Check availability and status of Apple' indicates a status query operation. The verb 'Check' and noun 'status' are characteristic of read-only operations that retrieve information without modification.
Attacks that exploit this kind of access
The rule that runs ai_status safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Iconnect, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For ai_status, this is the rule to start with:
ai_status is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Iconnect, apply this rule, and every ai_status call is checked against it from then on.
Questions about ai_status
Check availability and status of Apple. It is categorised as a Read tool in the Iconnect MCP Server, which means it retrieves data without modifying state.
Register the Iconnect MCP server in PolicyLayer and add a rule for ai_status: 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 Iconnect. Nothing to install.
ai_status 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 ai_status 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 ai_status. 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.
ai_status is provided by the Iconnect MCP server (iconnect-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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