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UUID generator

uuid
Read-onlyIdempotent

Generates 1 to 100 random UUID v4 values.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNoNumber of UUIDs (v4) to generate. Defaults to 1 if omitted.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / count / description
      Previous value: -""New value: +"Number of UUIDs (v4) to generate. Defaults to 1 if omitted."
  2. First observed

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and openWorldHint=false, so the safety profile is fully covered by structured data. The description's only added behavioral fact is the 1-100 output range, which is genuinely useful but modest. Note that 'random' results sit in mild tension with the idempotent hint, though this is standard MCP semantics for side-effect-free reads rather than a real contradiction.

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?

A single sentence with zero filler, and the key constraint (the 1-100 range) is front-loaded. Nothing could be removed without losing information.

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 one-parameter, side-effect-free generator, the description plus annotations plus schema cover everything needed to invoke it correctly. No output schema is needed because the return value is fully implied by the tool's name and description.

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 schema itself states the default of 1, so the baseline is met by structured data alone. The description adds the upper bound (100) that the schema does not mention, which is real constraint information an agent would otherwise have to guess.

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 a specific verb and resource ('Generates ... random UUID v4 values'), so the agent knows exactly what it produces. No sibling tool produces UUIDs, so differentiation is unnecessary, but the description makes no comparative statement and remains a bare one-liner.

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?

Usage is implied by the tool's self-evidently narrow scope, and no sibling overlaps with it, so the omission of explicit when-to-use guidance is low risk. Still, there is no statement of context or prerequisites, only the operation itself.

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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