Where-used list for an object. Returns the references that point to it.
AI agents call adt_where_used to retrieve information from Claude For Abap without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool performs a pure read operation—it searches for and returns references to a specified ABAP object. This is a standard static analysis query with no side effects. No data is created, modified, deleted, or executed. The blast radius if misused is minimal: an attacker could discover code dependencies and relationships, but cannot alter system state.
From the tool's definition Tool description states 'Where-used list for an object. Returns the references that point to it.' This is a query/lookup operation that retrieves existing reference data without modifying, deleting, or executing anything.
Documented attack patterns abuse exactly the kind of access adt_where_used gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Claude For Abap, and nothing reaches the server without passing your rules. This is the rule we recommend for adt_where_used:
{
"version": "1",
"default": "deny",
"tools": {
"adt_where_used": {}
}
} adt_where_used is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Where-used list for an object. Returns the references that point to it. It is categorised as a Read tool in the Claude For Abap MCP Server, which means it retrieves data without modifying state.
Register the Claude For Abap MCP server in PolicyLayer and add a rule for adt_where_used: 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 Claude For Abap. Nothing to install.
adt_where_used 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 adt_where_used 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 adt_where_used. 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.
adt_where_used is provided by the Claude For Abap MCP server (yzonur/claude-for-abap). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Claude For Abap, 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.
45 Claude For Abap tools catalogued and risk-classified — across an index of 43,000+ MCP servers.