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zvmzaretsky

FabTally Utility Belt

by zvmzaretsky

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

id

Generate secure identifiers (UUIDv4/v7, ULID, nanoid, hex, base64url, int) in batches up to 1000 using cryptographically secure randomness.

Instructions

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).
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It adds useful context by stating 'Uses a CSPRNG' and noting kind-specific parameter usage (size for nanoid, bytes for hex/base64url). However, it does not describe the response format, error behavior, or any side effects beyond generation, which leaves some gaps for an unauthenticated tool.

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?

The description is short and front-loaded with the core purpose. However, 'FREE.' is cryptic and likely a wasted token, and the trailing 'Args: kind, count.' duplicates what the schema already communicates. It remains compact and readable, but not every sentence earns its place.

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?

The tool has four optional parameters and no output schema, so the description needs to cover parameter behavior and invocation constraints, which it does (kind enumeration, count cap, size/bytes mapping, CSPRNG). It omits the return value shape, but for a simple ID generator this is likely inferable. Overall, it is sufficient for an agent to select and use this tool correctly among siblings.

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?

The input schema already covers all four parameters, so the baseline is 3. The description adds value by clarifying how parameters relate to the 'kind' selector (e.g., nanoid uses size, hex/base64url use bytes) and setting the count limit at 1000. This goes beyond the schema's individual descriptions and helps the agent construct valid invocations.

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 'Generate identifiers' and enumerates all supported kinds (uuidv4/uuidv7, ulid, nanoid, hex, base64url, int), which directly matches the title. This is a specific verb+resource statement that distinguishes the tool from unrelated siblings like encode 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 Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies when to use the tool ('Generate identifiers') and provides constraints like 'count up to 1000', but it does not explicitly name alternatives or state when not to use it. The sibling tools are clearly different domains, so usage context is somewhat self-evident, but no explicit guidance or exclusions are given.

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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