give_feedback

Submit feedback for an agent using ERC-8004 reputation registry.

SERVERAibtc SOURCEaibtcdev/aibtc-mcp-server

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity verified Pull the record →

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

WHAT IT DOES

What give_feedback does on Aibtc

AI agents use give_feedback to create or update resources in Aibtc, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Aibtc environment.

RISK

Why give_feedback is rated Medium

The tool submits/creates feedback data to a reputation registry. This is a Write operation as it creates new records in a registry. It does not delete data, execute code, or involve financial transactions directly. However, misuse could affect an agent's reputation score, which has medium severity implications.

From the tool's definition Submit feedback for an agent using ERC-8004 reputation registry

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs give_feedback safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Aibtc, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For give_feedback, this is the rule to start with:

give_feedback Rate-limited

give_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": {
    "give_feedback": {
      "limits": [
        {
          "counter": "give_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 Aibtc, apply this rule, and every give_feedback call is checked against it from then on.

FAQ

Questions about give_feedback

What does the give_feedback tool do? +

Submit feedback for an agent using ERC-8004 reputation registry. It is categorised as a Write tool in the Aibtc MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on give_feedback? +

Register the Aibtc MCP server in PolicyLayer and add a rule for give_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 give_feedback? +

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

Can I rate-limit give_feedback? +

Yes. Add a rate_limit block to the give_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 give_feedback completely? +

Set action: deny in the PolicyLayer policy for give_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 give_feedback? +

give_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.

KEEP EXPLORING

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