日本の指定された地域の天気情報を取得する
AI agents call get_weather to retrieve information from Japanese Weather MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns weather data without modifying, deleting, or executing external operations with variable effects. It is a pure read operation with minimal security impact even if misused by an AI agent—the worst outcome would be fetching irrelevant weather data.
From the tool's definition Tool name 'get_weather' and description '日本の指定された地域の天気情報を取得する' (retrieve weather information for specified regions in Japan) indicate data retrieval with no side effects.
Attacks that exploit this kind of access
日本の指定された地域の天気情報を取得する. It is categorised as a Read tool in the Japanese Weather MCP MCP Server, which means it retrieves data without modifying state.
Register the Japanese Weather MCP server in PolicyLayer and add a rule for get_weather: 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 Japanese Weather MCP. Nothing to install.
get_weather 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 get_weather 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 get_weather. 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.
get_weather is provided by the Japanese Weather MCP server (tsukiyama85/japanese-weather-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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