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by TrackLine

system_generate_x25519

Generate X25519 key pairs for VLESS Reality protocol to establish secure VPN connections through the Remnawave panel.

Instructions

Generate X25519 key pair for VLESS Reality

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • The tool handler for system_generate_x25519 calls the client's generateX25519 method.
    async () => {
        try {
            const result = await client.generateX25519();
            return toolResult(result);
        } catch (e) {
            return toolError(e);
        }
    },
  • The tool 'system_generate_x25519' is registered in the system tools set.
    server.tool(
        'system_generate_x25519',
        'Generate X25519 key pair for VLESS Reality',
        {},
        async () => {
            try {
                const result = await client.generateX25519();
                return toolResult(result);
            } catch (e) {
                return toolError(e);
            }
        },
    );
  • The client-side implementation of the tool, which makes a GET request to the REST API.
    async generateX25519() {
        return this.get(REST_API.SYSTEM.TOOLS.GENERATE_X25519);
    }
Behavior2/5

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

No annotations are provided, so the description carries full burden but only states what the tool does, not how it behaves (e.g., whether it returns public/private keys, format, security implications, or side effects). This leaves critical behavioral traits undisclosed.

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

Conciseness5/5

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

The description is a single, efficient sentence that directly states the tool's purpose without unnecessary words. It is front-loaded and earns its place by clearly conveying the essential information.

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

Completeness3/5

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

Given the tool has no parameters and no output schema, the description adequately covers the purpose but lacks details on behavior, output format, or integration context. It's minimally viable but leaves gaps in understanding how to use the generated keys.

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

Parameters4/5

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

With 0 parameters and 100% schema description coverage, the schema fully documents the lack of inputs. The description adds value by specifying the key type (X25519) and use case (VLESS Reality), which provides context beyond the empty schema, justifying a score above baseline.

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

Purpose4/5

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

The description clearly states the action ('Generate X25519 key pair') and the purpose ('for VLESS Reality'), which is specific and informative. However, it doesn't explicitly differentiate from sibling tools like 'system_metadata' or 'system_stats', which lowers it from a perfect score.

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?

The description provides no guidance on when to use this tool versus alternatives, such as whether it's for initial setup, key rotation, or specific configurations. Without annotations or context, the agent must infer usage from the purpose alone.

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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