reputation_get_feedback_count

Get the total number of feedback entries for an agent from the ERC-8004 reputation registry.

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

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

What reputation_get_feedback_count does on Aibtc

AI agents call reputation_get_feedback_count to retrieve information from Aibtc without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why reputation_get_feedback_count is rated Low

This tool queries a reputation registry to retrieve aggregate feedback count data. It performs a read-only lookup against an immutable registry (ERC-8004) and returns a numeric result. No data is created, modified, deleted, or committed financially. The blast radius of misuse is minimal — an attacker could at most enumerate feedback counts, which is already public on-chain data.

From the tool's definition Tool name contains 'get' and description states 'Get the total number of feedback entries' — a pure retrieval operation with no modification or side effects.

Questions about reputation_get_feedback_count

What does the reputation_get_feedback_count tool do? +

Get the total number of feedback entries for an agent from the ERC-8004 reputation registry. It is categorised as a Read tool in the Aibtc MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on reputation_get_feedback_count? +

Register the Aibtc MCP server in PolicyLayer and add a rule for reputation_get_feedback_count: 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_get_feedback_count? +

reputation_get_feedback_count is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit reputation_get_feedback_count? +

Yes. Add a rate_limit block to the reputation_get_feedback_count 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_get_feedback_count completely? +

Set action: deny in the PolicyLayer policy for reputation_get_feedback_count. 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_get_feedback_count? +

reputation_get_feedback_count 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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