Get information about the current server environment. Returns: - Operating system details (platform, arch, release) - Node.js version - Server process info (PID, uptime, memory usage) - CPU information - Memory (total, free, used) - Network hostname This tool does not require any parameters. No s...
AI agents call get_environment to retrieve information from MCP Toolkit Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is a pure information-retrieval operation. It queries system metadata without modifying, executing, or deleting anything. The explicit carve-out excluding sensitive data further reduces risk. Severity is low because even if an agent obtains this data, it cannot directly cause harm—it's non-sensitive infrastructure telemetry useful for debugging or reconnaissance at most.
From the tool's definition Tool retrieves environment metadata (OS details, Node.js version, server process info, CPU and memory stats, hostname) with explicit statement that 'no sensitive environment variables or secrets are exposed.' Returns information only; no side effects.
Attacks that exploit this kind of access
Get information about the current server environment. Returns: - Operating system details (platform, arch, release) - Node.js version - Server process info (PID, uptime, memory usage) - CPU information - Memory (total, free, used) - Network hostname This tool does not require any parameters. No sensitive environment variables or secrets are exposed. It is categorised as a Read tool in the MCP Toolkit Server MCP Server, which means it retrieves data without modifying state.
Register the MCP Toolkit Server MCP server in PolicyLayer and add a rule for get_environment: 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 Toolkit Server. Nothing to install.
get_environment 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_environment 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_environment. 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_environment is provided by the MCP Toolkit Server MCP server (vyshnavi-nandyala/mcp-toolkit-server). 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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