Revoke previously posted feedback on Reputation Registry
AI agents use revoke_feedback to create or update resources in Waiaas — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Waiaas environment.
Revoking feedback modifies state on a Reputation Registry by removing or nullifying a previously posted entry. This is a write/modification operation. While 'revoke' could imply irreversibility, reputation registry entries being revoked is typically a state change (marking as revoked) rather than permanent deletion. It's not financial, not executing code, and not clearly destructive.
From the tool's definition Revoke previously posted feedback on Reputation Registry
Documented attack patterns abuse exactly the kind of access revoke_feedback gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Waiaas, and nothing reaches the server without passing your rules. This is the rule we recommend for revoke_feedback:
{
"version": "1",
"default": "deny",
"tools": {
"revoke_feedback": {
"limits": [
{
"counter": "revoke_feedback_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}revoke_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.
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Revoke previously posted feedback on Reputation Registry. It is categorised as a Write tool in the Waiaas MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Waiaas MCP server in PolicyLayer and add a rule for revoke_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 Waiaas. Nothing to install.
revoke_feedback 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 revoke_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.
Set action: deny in the PolicyLayer policy for revoke_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.
revoke_feedback is provided by the Waiaas MCP server (minhoyoo-iotrust/waiaas). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Waiaas, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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