This record as markdown: /tools/quangdang46-uefn-verse-mcp/config-get.md
What config_get does on Uefn
AI agents call config_get to retrieve information from Uefn without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why config_get is rated Low
This is a read-only operation that retrieves configuration values. It has no side effects, does not modify state, and presents minimal risk. The low severity reflects that configuration data is typically non-sensitive in a local editor context, and misuse would only allow an agent to query existing settings rather than alter system behavior or permissions.
From the tool's definition Tool name 'config_get' and description 'Get toolbelt configuration value(s)' indicate retrieval of configuration data without modification.
Attacks that exploit this kind of access
The rule that runs config_get safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Uefn, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For config_get, this is the rule to start with:
config_get is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Uefn, apply this rule, and every config_get call is checked against it from then on.
Questions about config_get
Get toolbelt configuration value(s). It is categorised as a Read tool in the Uefn MCP Server, which means it retrieves data without modifying state.
Register the Uefn MCP server in PolicyLayer and add a rule for config_get: 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 Uefn. Nothing to install.
config_get 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 config_get 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 config_get. 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.
config_get is provided by the Uefn MCP server (quangdang46/uefn-verse-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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