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Generate IDs (uuid v4/v7, ULID, nanoid)

id

FREE. Generate identifiers. kind is one of uuidv4|uuidv7|ulid|nanoid|hex|base64url|int. count up to 1000. nanoid takes size; hex/base64url take bytes. Uses a CSPRNG. Args: kind, count.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kindNouuidv4 (default) | uuidv7 | ulid | nanoid | hex | base64url | int
sizeNonanoid length (default 21).
bytesNohex/base64url random byte length (default 16).
countNoHow many to generate (1-1000, default 1).

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.1/5.0
Behavior3/5

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

With no annotations, the description must carry the full burden. It discloses that a CSPRNG is used and specifies a count limit of 1000, which is useful behavioral context. However, it doesn't mention return format, error behavior, or what happens with invalid kind values, leaving some ambiguity.

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 extremely concise, front-loaded with 'FREE. Generate identifiers.' and then lists essential detail in a compact format. Every sentence contributes useful information, with no filler or repetition.

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?

For a simple tool with no output schema, the description covers the main inputs and behavioral constraints, but it omits the return format (e.g., whether count>1 returns an array). This is a meaningful gap since the user would need to infer the output structure.

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%, but the description adds value by clarifying parameter applicability: 'nanoid takes size; hex/base64url take bytes' and 'count up to 1000'. This goes beyond the schema's individual descriptions and helps the agent understand conditional parameter usage.

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 clearly states the tool's purpose as 'Generate identifiers' and lists the supported formats (uuidv4/v7, ulid, nanoid, hex, base64url, int). This is a specific verb+resource combination that distinguishes it from sibling tools like convert, hash, or regex.

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?

The description provides clear context on when to use this tool (any time identifiers are needed) and includes usage constraints like kind values and count limits. It does not explicitly mention when not to use it or reference alternative tools, but the purpose is unambiguous given the sibling set.

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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TDQS

A4.1/5.0
Disambiguation5/5

Each tool targets a distinct operation: unit conversion, cron parsing, currency conversion, date math, diff, encoding, hashing, ID generation, JSON schema validation, regex, RRULE expansion, text transforms, and timezone conversion. Even related tools like convert, currency, and timezone are clearly separated by domain, with descriptions that eliminate ambiguity.

Naming Consistency5/5

All tool names are lowercase single-word identifiers without separators or camelCase, forming a clean and predictable pattern. While some are verbs (convert, diff, encode) and others nouns (cron, currency, id), the uniform naming style ensures consistency.

Tool Count5/5

13 tools is well-scoped for a general-purpose utility belt. Each tool covers a common utility without redundancy, fitting comfortably within the ideal 3-15 range.

Completeness5/5

The tool surface covers a broad range of utilities: unit and currency conversion, date/time handling (datemath, timezone, cron, rrule), text processing (text, encode, regex, diff), cryptography (hash), ID generation, and schema validation. No obvious gaps exist for the stated purpose.