Generate Intune detection rules for Win32 app deployments. Supports file, registry, MSI product code, and PowerShell script detection methods. Returns both Intune Graph API JSON and equivalent PowerShell scripts.
AI agents use generate_intune_detection to create or update resources in Packager-MCP — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Packager-MCP environment.
This is a Write operation because it creates detection rule configurations that will be deployed and executed in production Intune environments. While it doesn't directly execute on endpoints, it generates and likely persists rule definitions that configure application deployment detection behavior.
From the tool's definition The tool generates Intune detection rules for Win32 app deployments, creating artifacts (Intune Graph API JSON and PowerShell scripts) that will be stored and used in Intune infrastructure.
Attacks that exploit this kind of access
Generate Intune detection rules for Win32 app deployments. Supports file, registry, MSI product code, and PowerShell script detection methods. Returns both Intune Graph API JSON and equivalent PowerShell scripts. It is categorised as a Write tool in the Packager-MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Packager- MCP server in PolicyLayer and add a rule for generate_intune_detection: 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 Packager-MCP. Nothing to install.
generate_intune_detection is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the generate_intune_detection 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 generate_intune_detection. 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.
generate_intune_detection is provided by the Packager- MCP server (kkaminsk/packager-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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