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BACH-AI-Tools

Random Word By Api Ninjas

v1randomword

Generate random words by type (noun, verb, adjective, adverb) for creative writing, games, and language learning applications using API Ninjas Random Word API.

Instructions

API Ninjas Random Word API endpoint. Returns a random word.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeNoType of word. Possible values are: noun, verb, adjective, adverb.
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It states the tool returns a random word but does not disclose behavioral traits such as rate limits, authentication needs, error handling, or response format. This leaves significant gaps in understanding how the tool behaves in practice.

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 and front-loaded, consisting of only two sentences that directly state the tool's purpose and source. Every sentence earns its place with zero waste, making it efficient and well-structured.

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

Completeness2/5

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

Given the lack of annotations and output schema, the description is incomplete. It does not explain return values, error conditions, or other contextual details needed for effective use. While the tool is simple, the description fails to provide sufficient completeness for a tool with no structured support.

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

Parameters3/5

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

The input schema has 100% description coverage, documenting the optional 'type' parameter with possible values. The description does not add any parameter semantics beyond what the schema provides, so it meets the baseline of 3 for high schema coverage without compensating value.

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 clearly states the tool's purpose: 'Returns a random word' with the specific source 'API Ninjas Random Word API endpoint.' It uses a specific verb ('Returns') and resource ('random word'), but since there are no sibling tools, it cannot differentiate from them, which prevents a perfect score.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives. It mentions the API endpoint but does not specify use cases, prerequisites, or exclusions. Without sibling tools, there is no explicit comparison, but general usage context is still missing.

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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