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Util UUID

util_uuid
Read-onlyIdempotent

Use when you need fresh UUIDs: n (1-100) random v4 or time-sortable v7 identifiers, generated on Cloudflare's edge with crypto randomness, no external call, under 100 ms. Returns the exact paid x402 request for your input (GET /util/uuid, $0.001 per call), with the response schema and an example; call that URL with an x402 or MPP client to get the data. Bad input is refused before any charge. With a P0 access key (header Authorization: Bearer p0k_…, buy one at https://x402-bazaar-rank.x402-bazaar-rank-worker.workers.dev/keys/buy?usd=5) this tool makes the paid call itself and returns the data, deducting the listed price.

Input Schema

NameRequiredDescriptionDefault
nNoHow many
versionNo4 random, 7 time-sortable

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already cover safety (readOnly, non-destructive), and the description adds substantial unstated context: edge crypto randomness, sub-100ms latency, $0.001 pricing, validation-before-charge, and the P0-key flow that makes the paid call itself. What's missing is the concrete shape of returned data (e.g., a list of strings) in key mode, which matters since there is no output schema.

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 trigger phrase is correctly front-loaded and every clause carries real information (latency, price, auth, validation). It is dense and reads as an extended run-on, but trimming would lose payment-mechanics details an agent needs to choose a mode.

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 tool with no output schema, it covers the important unknowns: what is returned in each mode, the endpoint and price, how to authenticate, and that bad input is rejected pre-charge. The only gap is the absence of a concrete return-value shape for the key-authorized path.

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?

Schema coverage is 100%, so baseline is 3. The description's "n (1-100)" and "v4 random / v7 time-sortable" essentially restate what the schema already documents, adding only slight semantic framing for when v7's sortability matters.

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

Purpose5/5

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

States a specific verb and resource plus scope: generate 1-100 v4 (random) or v7 (time-sortable) UUIDs. That is immediately distinguishable from siblings like util_hash and util_base64, which produce different artifacts.

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

Usage Guidelines4/5

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

"Use when you need fresh UUIDs" gives clear triggering context, and the two operating modes (request-template vs. P0-key direct call) are spelled out. It stops short of explicitly naming alternatives or when-not-to-use conditions, but the use case is narrow enough that the gap is small.

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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