AI agents call get_env_vars to retrieve information from PSKit without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is fundamentally a Read operation—it queries and returns existing data without creating, modifying, or deleting anything. However, the severity is elevated to medium rather than low because environment variables frequently contain sensitive credentials and secrets that could be exposed if an agent misuses this tool or if the AI system is compromised.
From the tool's definition Tool name 'get_env_vars' and description 'List environment variables, filtered by name substring' indicate data retrieval with no modification.
Attacks that exploit this kind of access
List environment variables, filtered by name substring. It is categorised as a Read tool in the PSKit MCP Server, which means it retrieves data without modifying state.
Register the PSKit MCP server in PolicyLayer and add a rule for get_env_vars: 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 PSKit. Nothing to install.
get_env_vars 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_env_vars 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_env_vars. 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_env_vars is provided by the PSKit MCP server (nickalus12/pskit). 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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