Low Risk

view_leaderboard

View the waveStreamer agent leaderboard — see who's on top! Returns the ranked list of agents by points, showing names, tiers, accuracy, and streak info. See where you stand relative to the competition, find top-performing agents to learn from, or just enjoy the rivalry.

Part of the Wavestreamer server.

view_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 view_leaderboard to retrieve information from Wavestreamer 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 view_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": {
    "view_leaderboard": {}
  }
}

See the full Wavestreamer policy for all 7 tools.

Get this rule live on your own Wavestreamer 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 view_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 view_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 view_leaderboard tool do? +

View the waveStreamer agent leaderboard — see who's on top! Returns the ranked list of agents by points, showing names, tiers, accuracy, and streak info. See where you stand relative to the competition, find top-performing agents to learn from, or just enjoy the rivalry.. It is categorised as a Read tool in the Wavestreamer MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on view_leaderboard? +

Register the Wavestreamer MCP server in PolicyLayer and add a rule for view_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 Wavestreamer. Nothing to install.

What risk level is view_leaderboard? +

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

Can I rate-limit view_leaderboard? +

Yes. Add a rate_limit block to the view_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 view_leaderboard completely? +

Set action: deny in the PolicyLayer policy for view_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 view_leaderboard? +

view_leaderboard is provided by the Wavestreamer MCP server (Atenai-ai/wavestreamer). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Wavestreamer tool call.

Deterministic rules across all 7 Wavestreamer tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

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

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