Use this when the user asks when autumn leaves peak, whether one city colors earlier than another, or wants a national overview for October-December. Returns city-level maple and ginkgo forecast dates, forecast maps, and regional commentary from Japan Meteorological Corporation. Do not use this f...
Part of the Japan Seasons server.
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AI agents call koyo_forecast to retrieve information from Japan Seasons 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 koyo_forecast 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.
{
"version": "1",
"default": "deny",
"tools": {
"koyo_forecast": {}
}
}See the full Japan Seasons policy for all 17 tools.
These attack patterns abuse exactly the kind of access koyo_forecast gives an agent. Each links to the full case and the policy that stops it:
Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.
Use this when the user asks when autumn leaves peak, whether one city colors earlier than another, or wants a national overview for October-December. Returns city-level maple and ginkgo forecast dates, forecast maps, and regional commentary from Japan Meteorological Corporation. Do not use this for specific temples, gardens, or GPS-tagged locations; call koyo_spots next for those.. It is categorised as a Read tool in the Japan Seasons MCP Server, which means it retrieves data without modifying state.
Register the Japan Seasons MCP server in PolicyLayer and add a rule for koyo_forecast: 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.
koyo_forecast is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the koyo_forecast 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 koyo_forecast. 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.
koyo_forecast 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.
Deterministic rules across all 17 Japan Seasons tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
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