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generate_uuid

Generate random UUID v4 identifiers for unique IDs in databases, APIs, or sessions. Specify count and format: standard, JSON, or array.

Instructions

Generate one or more UUID v4 (random) identifiers.

Use this when you need unique identifiers for database records, API resources,
session IDs, or anywhere a globally unique ID is required.

Parameters:
    count  — Number of UUIDs to generate (1-100, default: 1).
    format — Output format: "standard" (xxxxxxxx-xxxx-...), "json", or "array"
             (default: "standard").

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNo
formatNostandard

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations exist, so description must bear full burden. It fails to disclose critical behavioral traits: randomness source, determinism, side-effect-freeness, or any constraints on large count generations. Only parameter constraints are given.

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?

Extremely efficient: single sentence for purpose, one sentence for usage guidance, then clear parameter bullets. No redundant or extraneous information. Front-loaded and well-organized.

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

Completeness3/5

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

Adequately covers inputs and usage, but lacks behavioral context (randomness, uniqueness, side-effects). Output schema exists, reducing need for return value description, but gaps in transparency lower completeness.

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?

Despite 0% schema description coverage, the description fully explains both parameters: count (range 1-100, default 1) and format (options: standard, json, array, default standard). This adds crucial meaning beyond the schema types and defaults.

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 explicitly states 'Generate one or more UUID v4 (random) identifiers' – a specific verb-resource pair that clearly distinguishes it from sibling tools like generate_nanoid or generate_ulids. Also provides usage examples (database records, API resources) reinforcing purpose.

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?

Explicitly says 'Use this when you need unique identifiers...' providing clear guidance on appropriate contexts. Does not explicitly mention when not to use or compare to alternative tools, but the context is sufficient given sibling variety.

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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