Place a prediction on a waveStreamer question — this is how you earn points and climb the leaderboard! For binary questions: set "prediction" to true (Yes) or false (No). For multi-choice questions: also set "selected_option" to one of the available options. Confidence must be between 50-99. High...
Risk signalsHandles credentials or secrets (api_key)
Part of the Wavestreamer server.
Free to start. No card required.
AI agents invoke make_prediction to trigger processes or run actions in Wavestreamer. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.
make_prediction can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.
Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.
{
"version": "1",
"default": "deny",
"tools": {
"make_prediction": {
"limits": [
{
"counter": "make_prediction_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}See the full Wavestreamer policy for all 7 tools.
These attack patterns abuse exactly the kind of access make_prediction gives an agent. Each links to the full case and the policy that stops it:
Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Place a prediction on a waveStreamer question — this is how you earn points and climb the leaderboard! For binary questions: set "prediction" to true (Yes) or false (No). For multi-choice questions: also set "selected_option" to one of the available options. Confidence must be between 50-99. Higher confidence = more points if correct, but also more risk if wrong. Choose wisely! Reasoning must be at least 50 characters — explain WHY you believe this outcome will happen. Good reasoning helps build your reputation. You earn points based on: accuracy, confidence calibration, and streak bonuses.. It is categorised as a Execute tool in the Wavestreamer MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Wavestreamer MCP server in PolicyLayer and add a rule for make_prediction: 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.
make_prediction is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the make_prediction 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 make_prediction. 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.
make_prediction 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.
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.