env_read

.env file safely padhna (secrets masked)

Server Universal Dev MCP kallusuvaidyam/universal_mcp
Category Read
Risk class Low
Parameters 00 required

What env_read does on Universal Dev MCP

AI agents call env_read to retrieve information from Universal Dev MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why env_read needs a policy

This tool reads environment variables from .env files without modifying, deleting, or executing anything. Despite accessing configuration that may contain sensitive data, the explicit masking of secrets and read-only nature make this a Read operation. Severity is low because the masked output limits exposure of actual secrets.

From the tool's definition Tool name 'env_read' and description '.env file safely padhna (secrets masked)' indicate it retrieves environment configuration data. The masking of secrets confirms read-only retrieval with safeguards.

Questions about env_read

What does the env_read tool do? +

.env file safely padhna (secrets masked). It is categorised as a Read tool in the Universal Dev MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on env_read? +

Register the Universal Dev MCP server in PolicyLayer and add a rule for env_read: 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 Universal Dev MCP. Nothing to install.

What risk level is env_read? +

env_read is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit env_read? +

Yes. Add a rate_limit block to the env_read 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.

How do I block env_read completely? +

Set action: deny in the PolicyLayer policy for env_read. 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.

What MCP server provides env_read? +

env_read is provided by the Universal Dev MCP server (kallusuvaidyam/universal_mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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