Low Risk

rsnc_agent_leaderboard

See top earners and most active customers for a brand. Useful for social proof or finding the most rewarding brands to shop at.

Part of the Resonance Reward Agent server.

rsnc_agent_leaderboard is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call rsnc_agent_leaderboard to retrieve information from Resonance Reward Agent without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though rsnc_agent_leaderboard only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "rsnc_agent_leaderboard": {}
  }
}

See the full Resonance Reward Agent policy for all 45 tools.

Get this rule live on your own Resonance Reward Agent server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access rsnc_agent_leaderboard gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so rsnc_agent_leaderboard only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the rsnc_agent_leaderboard tool do? +

See top earners and most active customers for a brand. Useful for social proof or finding the most rewarding brands to shop at.. It is categorised as a Read tool in the Resonance Reward Agent MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on rsnc_agent_leaderboard? +

Register the Resonance Reward Agent MCP server in PolicyLayer and add a rule for rsnc_agent_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 Resonance Reward Agent. Nothing to install.

What risk level is rsnc_agent_leaderboard? +

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

Can I rate-limit rsnc_agent_leaderboard? +

Yes. Add a rate_limit block to the rsnc_agent_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 rsnc_agent_leaderboard completely? +

Set action: deny in the PolicyLayer policy for rsnc_agent_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 rsnc_agent_leaderboard? +

rsnc_agent_leaderboard is provided by the Resonance Reward Agent MCP server (https://agent.rsnc.network/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Resonance Reward Agent tool call.

Deterministic rules across all 45 Resonance Reward Agent tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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