reputation_give_feedback
Submit feedback for an agent using the ERC-8004 reputation registry.
This record as markdown: /tools/io-github-aibtcdev-mcp-server/reputation-give-feedback.md
What reputation_give_feedback does on Aibtc
AI agents use reputation_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.
Why reputation_give_feedback is rated Medium
This tool writes reputation/feedback data to a registry. It creates or modifies records in an on-chain or off-chain reputation system. While potentially impactful to an agent's reputation, it is a write operation (submission of feedback) rather than financial, destructive, or execute in nature. Misuse could harm agent reputation scores at moderate scale.
From the tool's definition Submit feedback for an agent using the ERC-8004 reputation registry
Attacks that exploit this kind of access
The rule that runs reputation_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 reputation_give_feedback, this is the rule to start with:
reputation_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.
The button opens the PolicyLayer dashboard: create your workspace, connect Aibtc, apply this rule, and every reputation_give_feedback call is checked against it from then on.
Questions about reputation_give_feedback
Submit feedback for an agent using the 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.
Register the Aibtc MCP server in PolicyLayer and add a rule for reputation_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.
reputation_give_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 reputation_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.
Set action: deny in the PolicyLayer policy for reputation_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.
reputation_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.
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