util_similarity

What util_similarity does on Delx MCP Server

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

Why util_similarity is rated Low

This is a deterministic string comparison function that retrieves or computes a similarity metric. It has no side effects on data storage or external systems. The Levenshtein distance is a standard text similarity algorithm that reads input strings and returns a normalized numeric result. This fits the 'Read' category as it retrieves/computes information without modifying state.

From the tool's definition Tool name 'util_similarity' and description 'Normalized string similarity (Levenshtein)' indicate a pure computational utility that compares strings using the Levenshtein distance algorithm.

The rule that runs util_similarity safely

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

{
  "version": "1",
  "default": "deny",
  "tools": {
    "util_similarity": {}
  }
}

Questions about util_similarity