rag.assess_answer_groundedness

What rag.assess_answer_groundedness does on ContextForge MCP Gateway

AI agents call rag.assess_answer_groundedness to retrieve information from ContextForge MCP Gateway without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why rag.assess_answer_groundedness is rated Low

The tool performs a read-only verification task: it examines answers and context to assess groundedness by checking whether claims are supported. This is purely analytical with no side effects, no data mutation, and no external execution. It fits the Read category definition: 'retrieves or queries data; no side effects.'

From the tool's definition Tool name contains 'assess' and description states 'Verify answers are grounded in provided context by checking claim support' — this is a validation/analysis operation that reads and evaluates existing data without modifying, deleting, or executing external…

The rule that runs rag.assess_answer_groundedness safely

PolicyLayer is an MCP gateway: it sits between your AI agents and ContextForge MCP Gateway, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For rag.assess_answer_groundedness, this is the rule to start with:

{
  "version": "1",
  "default": "deny",
  "tools": {
    "rag.assess_answer_groundedness": {}
  }
}

Questions about rag.assess_answer_groundedness