sap_update_feedback

SERVERSap SOURCEhttps://mcp.sap.oobeprotocol.ai/mcp

Medium RISK CLASS

Category Write

Parameters 40 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/oobe-protocol-labs-sap-mcp-server/sap-update-feedback.md

WHAT IT DOES

What sap_update_feedback does on Sap

AI agents use sap_update_feedback 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
`tag`	string	—	Optional new feedback tag/category
`score`	number	—	New feedback score (numeric, e.g. 1–5)
`agentWallet`	string	—	Agent wallet public key (base58) to update feedback for
`commentHash`	array	—	Optional 32-byte comment hash as a byte array, hex string, or base64 string

Parameters from the server's own tool schema.

RISK

Why sap_update_feedback is rated Medium

Modifies blockchain state irreversibly with financial cost, affecting reputation records on-chain.

From the tool's definition Update existing on-chain feedback for agent wallet; value-action; paid transaction.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs sap_update_feedback 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_feedback, this is the rule to start with:

sap_update_feedback Rate-limited

sap_update_feedback 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "sap_update_feedback": {
      "limits": [
        {
          "counter": "sap_update_feedback_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Sap, apply this rule, and every sap_update_feedback call is checked against it from then on.

FAQ

Questions about sap_update_feedback

What does the sap_update_feedback tool do? +

Update existing on-chain feedback for an agent wallet. 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: paid hosted call; call sap_estimate_tool_cost first, then use sap_payments_call_paid_tool if the runtime cannot handle x402 natively. 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.

What parameters does sap_update_feedback accept? +

sap_update_feedback accepts 4 parameters: tag, score, agentWallet, commentHash. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on sap_update_feedback? +

Register the Sap MCP server in PolicyLayer and add a rule for sap_update_feedback: 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.

What risk level is sap_update_feedback? +

sap_update_feedback is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit sap_update_feedback? +

Yes. Add a rate_limit block to the sap_update_feedback 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.

How do I block sap_update_feedback completely? +

Set action: deny in the PolicyLayer policy for sap_update_feedback. 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.

What MCP server provides sap_update_feedback? +

sap_update_feedback 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.

KEEP EXPLORING

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Guides

Govern customer-ops agents →Argument validation →Scoped token →