High Risk →

run_weather_backtest

Run a weather signal backtest over a historical date range. Uses GFS ensemble forecasts vs Polymarket prices. Returns summary stats: win rate, P&L, Sharpe, monthly breakdown.

Part of the Nephyr Backtest MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

nephyr-backtest Execute

AI agents invoke run_weather_backtest to trigger processes or run actions in Nephyr Backtest. 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.

run_weather_backtest can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. Intercept 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.

nephyr-backtest.yaml
tools:
  run_weather_backtest:
    rules:
      - action: allow
        rate_limit:
          max: 10
          window: 60
        validate:
          required_args: true

See the full Nephyr Backtest policy for all 3 tools.

Tool Name run_weather_backtest
Category Execute
Risk Level High

Agents calling execute-class tools like run_weather_backtest have been implicated in these attack patterns. Read the full case and prevention policy for each:

Browse the full MCP Attack Database →

Other tools in the Execute risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.

run_weather_backtest is one of the high-risk operations in Nephyr Backtest. For the full severity-focused view — only the high-risk tools with their recommended policies — see the breakdown for this server, or browse all high-risk tools across every MCP server.

What does the run_weather_backtest tool do? +

Run a weather signal backtest over a historical date range. Uses GFS ensemble forecasts vs Polymarket prices. Returns summary stats: win rate, P&L, Sharpe, monthly breakdown.. It is categorised as a Execute tool in the Nephyr Backtest MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on run_weather_backtest? +

Add a rule in your Intercept YAML policy under the tools section for run_weather_backtest. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Nephyr Backtest MCP server.

What risk level is run_weather_backtest? +

run_weather_backtest is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit run_weather_backtest? +

Yes. Add a rate_limit block to the run_weather_backtest rule in your Intercept 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 run_weather_backtest completely? +

Set action: deny in the Intercept policy for run_weather_backtest. 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 run_weather_backtest? +

run_weather_backtest is provided by the Nephyr Backtest MCP server (nephyr-backtest). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Let agents act without letting them run wild.

Deterministic policy on every MCP tool call. Per-identity grants. Full audit log.

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.