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koyo_spots

Use this when the user already knows the prefecture and needs exact autumn leaves viewing spots. Returns Japan Meteorological Corporation koyo spots for one prefecture with best start, peak, and end dates, leaf type, popularity rating, and GPS coordinates. Omit prefecture to get a top-destination...

Part of the Japan Seasons server.

koyo_spots can trigger actions in Japan Seasons, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents invoke koyo_spots to trigger processes or run actions in Japan Seasons. 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.

koyo_spots 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.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "koyo_spots": {
      "limits": [
        {
          "counter": "koyo_spots_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Japan Seasons policy for all 17 tools.

Get this rule live on your own Japan Seasons server in minutes. PolicyLayer enforces it on every call, before it runs.

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View all 17 tools →

These attack patterns abuse exactly the kind of access koyo_spots 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 koyo_spots only ever does what you allow.

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Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the koyo_spots tool do? +

Use this when the user already knows the prefecture and needs exact autumn leaves viewing spots. Returns Japan Meteorological Corporation koyo spots for one prefecture with best start, peak, and end dates, leaf type, popularity rating, and GPS coordinates. Omit prefecture to get a top-destinations guide. Do not use this for cross-city date matching; use koyo_forecast or koyo_best_dates first.. It is categorised as a Execute tool in the Japan Seasons MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on koyo_spots? +

Register the Japan Seasons MCP server in PolicyLayer and add a rule for koyo_spots: 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 Japan Seasons. Nothing to install.

What risk level is koyo_spots? +

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

Can I rate-limit koyo_spots? +

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

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

koyo_spots is provided by the Japan Seasons MCP server (japan-seasons-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Japan Seasons tool call.

Deterministic rules across all 17 Japan Seasons tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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