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Finekot API

uuid

kind=v4 random, v7 time-ordered (RFC 9562, monotonic within a batch), ulid (Crockford base32, also monotonic). Up to 100 per call. Cost €0.0005 per call, charged to the API key in Authorization: Bearer. Parameters — kind: v4 (default) | v7 | ulid; count: 1–100.

Input Schema

NameRequiredDescriptionDefault
kindNo
countNo

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

With no annotations supplied, the description carries the burden and does disclose important operational details: maximum batch size, cost per call, and that billing is tied to the API key in the Authorization header. It does not explicitly describe side effects or idempotency, but for a value-generation tool those gaps are less critical.

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 compact and front-loads the kind options, then batch size, cost/authentication, and parameter definitions. Every clause contributes useful information, with no repetition or filler.

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?

For a simple two-parameter generation tool with an output schema already present, the description covers the key behavioral and parameter details an agent needs: variants, defaults, limits, cost, and authentication context. Return-value documentation is correctly left to the output schema.

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

Parameters5/5

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

Schema description coverage is 0%, so the description must compensate, and it does: it defines kind as v4 (default), v7, or ulid, and explains count as a range from 1 to 100. The schema only exposes bare string/null fields, so the description adds substantial meaning beyond the input schema.

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 makes clear that this tool generates UUID/ULID values and names the supported kinds (v4, v7, ulid) with brief characteristics. It is specific about the resource but does not use an explicit verb like 'generate' and does not distinguish itself from utility siblings such as hash.

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?

It provides useful selection context for the kind parameter: v4 is random, v7 is time-ordered and monotonic within a batch, and ulid is also monotonic. It also states the default and batch limit, though it does not explain when one variant is preferable over another.

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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