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LexiconAlex

Better Auth MCP Server

by LexiconAlex

monitor_auth_flows

Monitor authentication processes in real-time to track security events and detect potential threats during user login sessions.

Instructions

Real-time monitoring of authentication processes

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
durationYesMonitoring duration (e.g. '1h', '30m')

Implementation Reference

  • Handler for monitor_auth_flows tool: extracts duration argument, logs start of monitoring, returns a placeholder completion message (actual implementation pending).
    case "monitor_auth_flows": {
      const { duration } = request.params.arguments as { duration: string };
      logger.info(`Starting auth flow monitoring for duration: ${duration}`);
      // Implementation would monitor auth processes
      return {
        content: [{
          type: "text",
          text: `Auth flow monitoring complete for duration: ${duration}`
        }]
      };
    }
  • Tool registration entry including name, description, and input schema for monitor_auth_flows, which requires a 'duration' parameter.
      name: "monitor_auth_flows",
      description: "Real-time monitoring of authentication processes",
      inputSchema: {
        type: "object",
        properties: {
          duration: {
            type: "string",
            description: "Monitoring duration (e.g. '1h', '30m')"
          }
        },
        required: ["duration"]
      }
    }
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden of behavioral disclosure. It mentions 'real-time monitoring' but does not explain what this entails—e.g., whether it streams data, requires specific permissions, has side effects, or how results are returned. This leaves critical behavioral traits unspecified for a monitoring tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence with no wasted words. It is front-loaded with the core purpose, though it could be more structured by including key details. It earns a high score for brevity but loses a point for under-specification relative to the tool's complexity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity of a monitoring tool with no annotations and no output schema, the description is incomplete. It lacks details on behavior, output format, error handling, or integration with sibling tools. This makes it inadequate for an agent to understand the full context of use.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 100% description coverage, with the 'duration' parameter fully documented. The description does not add any meaning beyond the schema, as it does not mention parameters at all. Baseline score is 3 since the schema adequately covers the single parameter.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Real-time monitoring of authentication processes' states a general purpose but lacks specificity about what 'monitoring' entails (e.g., observing, logging, alerting) and does not distinguish it from sibling tools like 'analyze_current_auth' or 'test_auth_flows'. It uses a verb ('monitoring') but is vague about the resource scope and operational details.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives such as 'analyze_current_auth' for static analysis or 'test_auth_flows' for testing. The description implies a real-time context but does not specify prerequisites, exclusions, or comparative use cases with sibling tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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