get_celestial_pos
AI agents call get_celestial_pos to retrieve information from Mcp Stargazing without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool calculates and returns positional astronomical data for celestial objects. It has no capability to modify state, execute external commands, delete data, or move resources. The operation is purely informational—querying existing astronomical/mathematical models to provide stargazing information to users.
From the tool's definition Tool name 'get_celestial_pos' and server description indicate this retrieves celestial position data (altitude, rise, set times).
Attacks that exploit this kind of access
get_celestial_pos. It is categorised as a Read tool in the Mcp Stargazing MCP Server, which means it retrieves data without modifying state.
Register the Mcp Stargazing MCP server in PolicyLayer and add a rule for get_celestial_pos: 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 Stargazing. Nothing to install.
get_celestial_pos 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_celestial_pos 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_celestial_pos. 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_celestial_pos is provided by the Mcp Stargazing MCP server (stargazer1995/mcp-stargazing). 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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