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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.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nNoHow many
versionNo4 random, 7 time-sortable

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.4/5.0
Behavior5/5

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

Beyond the annotations' safety profile, the description discloses behavior an agent could not otherwise infer: the tool does not return UUIDs directly but returns the exact paid x402 request (GET /util/uuid) that the caller must then invoke with an x402 or MPP client. It also states the per-call price ($0.001), that a response schema and example are included, and that bad input is rejected before any charge — all critical, non-obvious traits.

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 condition is front-loaded and every sentence carries information (parameters, delivery mechanics, pricing, safety). The middle sentence is long and dense, but the content is necessary rather than padding.

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

Completeness5/5

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

With no output schema, the description must explain what comes back — and it does, stating the return is the paid x402 request plus response schema and example. Accounting for the non-trivial payment/MPP flow, an agent has everything it needs to call this correctly.

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 description coverage is 100%, so both parameters are already documented by the schema, and the description largely restates them ('n (1-100)', 'random v4 or time-sortable v7'). It adds no format or interaction detail beyond what the schema provides, so baseline 3 is appropriate.

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?

The description states a specific verb+resource ('fresh UUIDs'), quantifies it (n 1-100, v4 random or v7 time-sortable) and names the generation substrate (Cloudflare edge, crypto randomness). It is trivially distinguishable from the other util_* siblings such as util_hash or util_base64.

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 a clear triggering condition, and 'no external call, under 100 ms' implicitly frames it against slower/external alternatives. However it never names when NOT to use it or a specific sibling alternative, so it stops short of full routing guidance.

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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