sap_update_reputation_metrics
Update self-reported latency and uptime metrics for the connected wallet SAP agent. SAP MCP context: Reputation and trust flow. Use after verifying the target agent PDA or wallet and keep hashes/attestation metadata stable and auditable. SAP MCP execution guidance: Intent: local-signer write work...
This record as markdown: /tools/oobe-protocol-labs-sap-mcp-server/sap-update-reputation-metrics.md
What sap_update_reputation_metrics does on Sap
AI agents use sap_update_reputation_metrics 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 |
|---|---|---|---|
avgLatencyMs | number | — | Average response latency in milliseconds to report |
uptimePercent | number | — | Uptime percentage (0–100) to report for the agent |
Parameters from the server's own tool schema.
Why sap_update_reputation_metrics is rated Medium
Modifies agent reputation metrics reversibly; financial context present but metric updates themselves are not direct money movements.
From the tool's definition Update self-reported latency and uptime metrics for connected wallet SAP agent.
Attacks that exploit this kind of access
The rule that runs sap_update_reputation_metrics 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_update_reputation_metrics, this is the rule to start with:
sap_update_reputation_metrics 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_update_reputation_metrics call is checked against it from then on.
Questions about sap_update_reputation_metrics
Update self-reported latency and uptime metrics for the connected wallet SAP agent. SAP MCP context: Reputation and trust flow. Use after verifying the target agent PDA or wallet and keep hashes/attestation metadata stable and auditable. SAP MCP execution guidance: Intent: local-signer write workflow. Pricing: paid value-action; preview cost and transaction effects before user confirmation. Routing: hosted accountless write is blocked; do not call this as a paid hosted write and no x402 payment should be charged. Use the local sap_payments bridge or a hosted unsigned builder when user signing is required. Signer boundary: user-controlled local profile or external signer; OOBE hosted MCP remains non-custodial. 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_update_reputation_metrics accepts 2 parameters: avgLatencyMs, uptimePercent. 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_update_reputation_metrics: 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_update_reputation_metrics 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_update_reputation_metrics 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_update_reputation_metrics. 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_update_reputation_metrics 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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