AI agents call flw to retrieve information from Mcp Hko without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves weather forecast information from the Hong Kong Observatory with no side effects, reversible operations, code execution, data deletion, or financial implications. It is a read-only data retrieval operation, making it low severity.
From the tool's definition Tool name 'flw' (Local Weather Forecast) and description explicitly state it is an 'API Request' for retrieval of forecast data. The parameter 'lang' indicates a query parameter for language selection, not data modification.
Attacks that exploit this kind of access
Local Weather Forecast (flw) API Request Parameters: - lang:. It is categorised as a Read tool in the Mcp Hko MCP Server, which means it retrieves data without modifying state.
Register the Mcp Hko MCP server in PolicyLayer and add a rule for flw: 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 Mcp Hko. Nothing to install.
flw 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 flw 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 flw. 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.
flw is provided by the Mcp Hko MCP server (louiscklaw/mcp-hko). 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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