Update a publication schedule (partial).
AI agents use sac_schedule_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 scheduled publication settings, which affects when and how analytics content is distributed to users. While reversible (Write rather than Destructive), it has high severity because incorrect schedule updates could disrupt critical business reporting workflows, affect user access to time-sensitive data, or trigger unintended automated data distributions across the organization.
From the tool's definition Tool name 'sac_schedule_update' and description 'Update a publication schedule (partial)' indicate modification of existing schedule configurations in SAP Analytics Cloud.
Documented attack patterns abuse exactly the kind of access sac_schedule_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_schedule_update:
{
"version": "1",
"default": "deny",
"tools": {
"sac_schedule_update": {
"limits": [
{
"counter": "sac_schedule_update_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}sac_schedule_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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Update a publication schedule (partial). 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_schedule_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_schedule_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_schedule_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_schedule_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_schedule_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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