sap_memory_record
Free local tool. Records a tool call execution in the agent memory database (SQLite FTS5). Auto-call after any paid or significant tool call to build searchable history. No x402 charge. SAP MCP execution guidance: Intent: SAP MCP tool workflow. Pricing: free; call directly without x402. Routing: ...
This record as markdown: /tools/oobe-protocol-labs-sap-mcp-server/sap-memory-record.md
What sap_memory_record does on Sap
AI agents use sap_memory_record to create or update resources in Sap, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Sap environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
input | string | — | JSON-serialized tool input. |
output | string | — | JSON-serialized tool output (truncated to 8KB). |
costUsd | number | — | x402 cost in USD if the tool was paid. |
outcome | string | Yes | Execution outcome. |
toolName | string | Yes | MCP tool name that was called. |
latencyMs | number | — | Execution latency in milliseconds. |
sessionId | string | — | Optional session identifier. |
txSignature | string | — | Solana transaction signature if applicable. |
callerProfile | string | — | Optional signer profile used. |
Parameters from the server's own tool schema.
Why sap_memory_record is rated Medium
Writes execution history to a local SQLite database; reversible and low blast radius.
From the tool's definition Records a tool call execution in the agent memory database (SQLite FTS5)
Attacks that exploit this kind of access
The rule that runs sap_memory_record 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_memory_record, this is the rule to start with:
sap_memory_record 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Sap, apply this rule, and every sap_memory_record call is checked against it from then on.
Questions about sap_memory_record
Free local tool. Records a tool call execution in the agent memory database (SQLite FTS5). Auto-call after any paid or significant tool call to build searchable history. No x402 charge. 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 Write tool in the Sap MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
sap_memory_record accepts 9 parameters: input, output, costUsd, outcome, toolName, latencyMs, sessionId, txSignature, callerProfile. Required: outcome, toolName. 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_memory_record: 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_memory_record 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 sap_memory_record 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_memory_record. 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_memory_record 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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