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ScorpTech x402 Tools

Id Generate

id_generate
Read-onlyIdempotent

Generate unique IDs: UUID v4 (random), v7 (time-ordered, monotonic within a batch), v5 (deterministic from namespace + name), ULID, nanoid (custom size / alphabet), KSUID and MongoDB ObjectId, up to 100 at once. Or inspect an existing ID: detects UUID (version, variant, embedded v1 / v6 / v7 time), ULID, KSUID, ObjectId and Snowflake (Twitter / Discord) and decodes the timestamp. Price: $0.001 USDC per successful call (x402, Solana). Same tool over HTTPS: GET https://scorptech.it.com/api/x402/v1/id-generate

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "id_generate"
  }
}

Input Schema

NameRequiredDescriptionDefault
idNoinspect: the ID to analyse
nameNouuid5: name to hash
sizeNonanoid length
typeNouuid4
countNo
alphabetNonanoid alphabet (default URL-safe A-Za-z0-9_-)
namespaceNouuid5: dns | url | oid | x500 or a UUIDdns

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnly, non-destructive), so the description rightly focuses on what they cannot express: per-call cost of $0.001 USDC via x402, a 100-ID cap, determinism of v5, batch-monotonic v7, and the HTTPS fallback URL. It still omits error/payment-failure behaviour.

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?

A single dense paragraph that front-loads the generation modes, then inspection, then price and endpoint. No filler sentences, though the packed enumeration makes it slightly hard to scan.

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

Completeness4/5

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

For a 7-param tool with no output schema the description covers both modes, format families, limits, and payment, but never says what a response looks like — especially whether count>1 returns an array and what the inspect object contains beyond version and timestamp.

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 71% schema coverage the schema carries most parameter detail, yet the prose adds meaning beyond it: uuid7 is time-ordered and monotonic within a batch, uuid5 is deterministic from namespace+name, and inspect decodes version/variant/timestamp. Nanoid size and count ceiling are restated rather than explained further.

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 names concrete verbs and resources: generate UUID v4/v7/v5, ULID, nanoid, KSUID and ObjectId, or inspect an existing ID. No sibling is named, but the scope is specific enough to separate it from neighbours like fake_data or random_draw.

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

Usage Guidelines3/5

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

'Or inspect an existing ID' implies the second mode, but the description never states the trigger (passing an `id` with type=inspect) nor when not to use it. There is no comparison to alternatives, so the agent must infer routing from the enum.

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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