sap_premium_stream_flush
Flush all buffered premium stream events for a session with cursor-based pagination. Unlike sap_premium_stream_poll (which returns a small batch for periodic polling), flush returns all events up to the cursor limit in a single call. Use this when an agent reconnects after a disconnection and nee...
This record as markdown: /tools/oobe-protocol-labs-sap-mcp-server/sap-premium-stream-flush.md
What sap_premium_stream_flush does on Sap
AI agents call sap_premium_stream_flush to retrieve information from Sap without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
limit | number | — | Maximum number of events to return. Default: 50, max: 500. |
eventType | string | — | Optional event type filter. |
sessionId | string | Yes | Active or recently active premium session id whose buffered events should be flushed. |
sinceEventId | string | — | Optional event id cursor. Only events delivered after this event id are returned. Use nextCursor from the previous flush call. |
Parameters from the server's own tool schema.
Why sap_premium_stream_flush is rated Low
Retrieves queued events with no data modification or external side effects.
From the tool's definition Flush buffered premium stream events, returns events with cursor pagination.
Attacks that exploit this kind of access
The rule that runs sap_premium_stream_flush safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Sap, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For sap_premium_stream_flush, this is the rule to start with:
sap_premium_stream_flush is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Sap, apply this rule, and every sap_premium_stream_flush call is checked against it from then on.
Questions about sap_premium_stream_flush
Flush all buffered premium stream events for a session with cursor-based pagination. Unlike sap_premium_stream_poll (which returns a small batch for periodic polling), flush returns all events up to the cursor limit in a single call. Use this when an agent reconnects after a disconnection and needs to catch up on missed events. The nextCursor can be used as sinceEventId in subsequent calls to fetch only newer events. SAP MCP execution guidance: Intent: SAP MCP tool workflow. Pricing: free; call directly without x402. Routing: free hosted call; call directly and keep it small/exact when possible. Signer boundary: hosted reads/builders never receive keypair bytes; value-moving results must be finalized locally when signing is required. It is categorised as a Read tool in the Sap MCP Server, which means it retrieves data without modifying state.
sap_premium_stream_flush accepts 4 parameters: limit, eventType, sessionId, sinceEventId. Required: sessionId. The full parameter table on this page comes from the server's own tool schema.
Register the Sap MCP server in PolicyLayer and add a rule for sap_premium_stream_flush: 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. Nothing to install.
sap_premium_stream_flush 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 sap_premium_stream_flush 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 sap_premium_stream_flush. 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.
sap_premium_stream_flush is provided by the Sap MCP server (https://mcp.sap.oobeprotocol.ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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