Authorize an AL app with the backend
AI agents use authorize-app to create or update resources in AL Object ID Ninja MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your AL Object ID Ninja MCP Server environment.
Authorizing an app registers it with the backend, creating a persistent authorization relationship. This is a Write operation (creating credentials/permissions). It is not Destructive or Financial, but misuse could grant unintended access to the ID management backend, hence high severity.
From the tool's definition 'Authorize an AL app with the backend' — creates or modifies an authorization record/credential for an app
Documented attack patterns abuse exactly the kind of access authorize-app gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and AL Object ID Ninja MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for authorize-app:
{
"version": "1",
"default": "deny",
"tools": {
"authorize-app": {
"limits": [
{
"counter": "authorize-app_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} authorize-app stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Authorize an AL app with the backend. It is categorised as a Write tool in the AL Object ID Ninja MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the AL Object ID Ninja MCP Server MCP server in PolicyLayer and add a rule for authorize-app: 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 AL Object ID Ninja MCP Server. Nothing to install.
authorize-app 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 authorize-app 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 authorize-app. 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.
authorize-app is provided by the AL Object ID Ninja MCP Server MCP server (sshadows/al-objid-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from AL Object ID Ninja MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
26 AL Object ID Ninja MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.