Calculate yearly Zi Wei Dou Shu horoscope periods across the person
AI agents call get_horoscope_years to retrieve information from iztro OpenAI MCP for Railway without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and computes astrological horoscope data for a given person across yearly periods. It is purely informational—it queries or calculates data without creating, modifying, deleting, executing arbitrary code, or affecting external systems. The server architecture confirms read-only intent. Risk is minimal as misuse only exposes precomputed astrological information.
From the tool's definition Tool description explicitly states 'Calculate yearly Zi Wei Dou Shu horoscope periods' and is part of a suite of read-only tools.
Attacks that exploit this kind of access
Calculate yearly Zi Wei Dou Shu horoscope periods across the person. It is categorised as a Read tool in the iztro OpenAI MCP for Railway MCP Server, which means it retrieves data without modifying state.
Register the iztro OpenAI MCP for Railway MCP server in PolicyLayer and add a rule for get_horoscope_years: 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 iztro OpenAI MCP for Railway. Nothing to install.
get_horoscope_years 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_horoscope_years 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_horoscope_years. 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_horoscope_years is provided by the iztro OpenAI MCP for Railway MCP server (snapyharry-potter/iztro-openai-mcp-railway). 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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