manage_leaderboard

SERVERAdrata SOURCE@adrata/adrata-mcp

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/adrata-adrata-mcp/manage-leaderboard.md

WHAT IT DOES

What manage_leaderboard does on Adrata

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

RISK

Why manage_leaderboard is rated Medium

An AI agent can call manage_leaderboard faster than any human can review: one bad instruction and it creates or modifies resources in Adrata by the hundred, each call as confident as the last.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs manage_leaderboard safely

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

manage_leaderboard Rate-limited

manage_leaderboard 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": {
    "manage_leaderboard": {
      "limits": [
        {
          "counter": "manage_leaderboard_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 Adrata, apply this rule, and every manage_leaderboard call is checked against it from then on.

FAQ

Questions about manage_leaderboard

What does the manage_leaderboard tool do? +

List, read, create, edit, duplicate, pin or delete activity leaderboards. Templates identify measured metrics; never turn an unmeasured result into zero. Rankings respect the caller’s team permissions. It is categorised as a Write tool in the Adrata MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on manage_leaderboard? +

Register the Adrata MCP server in PolicyLayer and add a rule for manage_leaderboard: 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 Adrata. Nothing to install.

What risk level is manage_leaderboard? +

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

Can I rate-limit manage_leaderboard? +

Yes. Add a rate_limit block to the manage_leaderboard 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 manage_leaderboard completely? +

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

manage_leaderboard is provided by the Adrata MCP server (@adrata/adrata-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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