reputation_approve_client

Approve a client to submit feedback up to a specified index limit.

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/reputation-approve-client.md

WHAT IT DOES

What reputation_approve_client does on Aibtc

AI agents use reputation_approve_client 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 reputation_approve_client is rated Medium

This tool creates or modifies access control settings (approving a client with specific limits), which is a reversible write operation. It does not delete data (not Destructive), execute arbitrary code (not Execute), involve financial transactions (not Financial), or merely retrieve information (not Read).

From the tool's definition Tool name 'reputation_approve_client' and description 'Approve a client to submit feedback up to a specified index limit' indicate a state-modifying operation that grants or updates permissions for a client.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs reputation_approve_client 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_approve_client, this is the rule to start with:

reputation_approve_client Rate-limited

reputation_approve_client 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": {
    "reputation_approve_client": {
      "limits": [
        {
          "counter": "reputation_approve_client_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 reputation_approve_client call is checked against it from then on.

FAQ

Questions about reputation_approve_client

What does the reputation_approve_client tool do? +

Approve a client to submit feedback up to a specified index limit. 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 reputation_approve_client? +

Register the Aibtc MCP server in PolicyLayer and add a rule for reputation_approve_client: 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_approve_client? +

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

Can I rate-limit reputation_approve_client? +

Yes. Add a rate_limit block to the reputation_approve_client 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_approve_client completely? +

Set action: deny in the PolicyLayer policy for reputation_approve_client. 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_approve_client? +

reputation_approve_client 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

More on Aibtc, and thousands of servers like it.

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Guides

Govern customer-ops agents →Argument validation →Scoped token →