Retrieve all environment variables from your Rails application running on Hatchbox via SSH. This tool connects to your server and reads environment variables directly from the running puma process, providing a complete view of your application
AI agents call getEnvVars to retrieve information from Pointsyeah without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves data (environment variables) without modifying or deleting anything, making it a Read operation. However, the severity is high because environment variables typically contain sensitive secrets such as API keys, database credentials, authentication tokens, and other confidential configuration that could be exploited if exposed to an untrusted AI agent.
From the tool's definition Retrieve all environment variables from your Rails application running on Hatchbox via SSH. This tool connects to your server and reads environment variables directly from the running puma process, providing a complete view of your application
Attacks that exploit this kind of access
Retrieve all environment variables from your Rails application running on Hatchbox via SSH. This tool connects to your server and reads environment variables directly from the running puma process, providing a complete view of your application. It is categorised as a Read tool in the Pointsyeah MCP Server, which means it retrieves data without modifying state.
Register the Pointsyeah MCP server in PolicyLayer and add a rule for getEnvVars: 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 Pointsyeah. Nothing to install.
getEnvVars 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 getEnvVars 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 getEnvVars. 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.
getEnvVars is provided by the Pointsyeah MCP server (slack-workspace-mcp-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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