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UUID generator, ID generator: generate random UUIDs (v4) for IDs

uuid
Read-only

Generate 1 to 100 random version-4 UUIDs from a cryptographic random source. Use for IDs, idempotency keys and test data. Example: count=3. Price $0.01/call via x402 USDC or a card key (/credits), first 25 free; failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.

Input Schema

NameRequiredDescriptionDefault
countNoHow many (1-100, default 1)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added
  2. Removed
  3. Added

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare the safety profile, and the description goes further with real cost/auth context: $0.01/call via x402 USDC or a card key, first 25 free, failed calls free. 'Each call is charged, so repeats are not free' usefully gives the practical consequence of idempotentHint=false rather than just restating it.

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?

Front-loaded with capability, then use cases, then cost. Slight redundancy in 'reads or computes only and changes nothing', which repeats readOnlyHint/destructiveHint, but the pricing sentences earn their space for a per-call-billed tool.

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?

With one optional parameter and no output schema, the description covers capability, quantity, safety and billing adequately. It could still say whether the result is an array or newline-delimited list, but an agent has enough to call it correctly.

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?

Schema coverage is 100% and the count parameter is already documented as 'How many (1-100, default 1)'. The description reinforces the effective 1-100 ceiling, which matters because the raw schema min/max bounds are far wider, and the count=3 example makes the unit concrete.

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 ('Generate ... random version-4 UUIDs'), plus the generation source ('cryptographic random source') and quantity range. That is specific enough to separate it from nearby siblings such as random_password, random_number and pack_id_toolbox without opening any schema.

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?

Names concrete use cases ('IDs, idempotency keys and test data') and gives a worked example (count=3), so an agent knows when this is the right tool. It stops short of naming alternatives or stating when-not to use it, so it does not reach the top band.

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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