reputation_revoke_feedback

Revoke a previously submitted feedback entry by index.

SERVERAibtc SOURCEaibtcdev/aibtc-mcp-server
Critical RISK CLASS
Category Destructive
Parameters 00 required
Recommended Hiddensee the rule below
Registry record Grade F, identity verified Pull the record →

This record as markdown: /tools/io-github-aibtcdev-mcp-server/reputation-revoke-feedback.md

What reputation_revoke_feedback does on Aibtc

AI agents call reputation_revoke_feedback to permanently remove resources in Aibtc, typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.

Why reputation_revoke_feedback is rated Critical

Revoking a previously submitted feedback entry is an irreversible deletion/removal of existing data. The word 'revoke' indicates permanent removal of the feedback record, which cannot be undone, placing this in the Destructive category. Severity is medium as it affects reputation/feedback data which could impact trust systems but has limited broader blast radius.

From the tool's definition Revoke a previously submitted feedback entry by index

Questions about reputation_revoke_feedback

What does the reputation_revoke_feedback tool do? +

Revoke a previously submitted feedback entry by index. It is categorised as a Destructive tool in the Aibtc MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.

How do I enforce a policy on reputation_revoke_feedback? +

Register the Aibtc MCP server in PolicyLayer and add a rule for reputation_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 Aibtc. Nothing to install.

What risk level is reputation_revoke_feedback? +

reputation_revoke_feedback is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.

Can I rate-limit reputation_revoke_feedback? +

Yes. Add a rate_limit block to the reputation_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.

How do I block reputation_revoke_feedback completely? +

Set action: deny in the PolicyLayer policy for reputation_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.

What MCP server provides reputation_revoke_feedback? +

reputation_revoke_feedback is provided by the Aibtc MCP server (aibtcdev/aibtc-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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