x402-random-word
Random Word: Generate a random word.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| n | No | N to process | |
| count | No | Count to process |
Random Word: Generate a random word.
| Name | Required | Description | Default |
|---|---|---|---|
| n | No | N to process | |
| count | No | Count to process |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure, but it only says a random word is generated. It does not explain word length, vocabulary source, whether 'count' or 'n' control output size, or what the response shape will be.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short and front-loaded, with no filler. The leading 'Random Word:' prefix is somewhat redundant with the tool name, which prevents a perfect score, but the remainder wastes no words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has two opaque parameters, no output schema, and no annotations, yet the description provides only a minimal one-line summary. It does not explain how to use the parameters or what an agent should expect in return, leaving important context missing.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema's parameter descriptions are unhelpful placeholders ('N to process', 'Count to process'), and the tool description adds no clarification about what 'n' or 'count' mean for generating a random word. An agent cannot confidently determine valid or meaningful values.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a clear action and resource: 'Generate a random word.' This is understandable at a glance. However, it does not distinguish this tool from the many other random-word/lorem/word siblings available in the tool list.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given about when to use this tool versus alternatives like x402-lorem, x402-random, or x402-wiki-random. There is no mention of preferred use cases, parameter-driven behavior, or exclusions.
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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