AI agents use sac_users_update to create or update resources in Sap Analytics Cloud — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Sap Analytics Cloud environment.
This tool modifies user data irreversibly within the current operation context (though the change itself is reversible via subsequent updates). It affects access control, authentication, and user identity configurations in an enterprise analytics platform. The 'full replace' semantics mean it overwrites existing user state entirely.
From the tool's definition Tool description states 'Full replace of a user (SCIM v2 PUT)' — PUT operations in SCIM perform complete replacement of user records, modifying user attributes, permissions, and configurations.
Documented attack patterns abuse exactly the kind of access sac_users_update gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Sap Analytics Cloud, and nothing reaches the server without passing your rules. This is the rule we recommend for sac_users_update:
{
"version": "1",
"default": "deny",
"tools": {
"sac_users_update": {
"limits": [
{
"counter": "sac_users_update_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} sac_users_update 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.
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Full replace of a user (SCIM v2 PUT). It is categorised as a Write tool in the Sap Analytics Cloud MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Sap Analytics Cloud MCP server in PolicyLayer and add a rule for sac_users_update: 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 Sap Analytics Cloud. Nothing to install.
sac_users_update 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 sac_users_update 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 sac_users_update. 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.
sac_users_update is provided by the Sap Analytics Cloud MCP server (jumenengels/sap_analytics_cloud_mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Sap Analytics Cloud, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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90 Sap Analytics Cloud tools catalogued and risk-classified — across an index of 43,000+ MCP servers.