x402-ai-name-gen
x402-ai-name-gen: [下架·不上架] 重复服务 Brand/project name ideas.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| text | No | Text to process | |
| type | No | Type to process | |
| keywords | No | Keywords to process |
x402-ai-name-gen: [下架·不上架] 重复服务 Brand/project name ideas.
| Name | Required | Description | Default |
|---|---|---|---|
| text | No | Text to process | |
| type | No | Type to process | |
| keywords | No | Keywords to process |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It fails to do so – it does not mention any side effects, outputs, limitations, or requirements. The 'duplicate service' note suggests the tool may be disabled or redundant, but this is unhelpful and ambiguous rather than transparent.
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 extremely short, but brevity without substance is not conciseness. It is under-specified and includes irrelevant maintenance metadata that detracts from any usefulness. It fails to front-load actionable information and wastes space on a confusing tag.
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?
For a tool that generates brand/project name ideas, the description is completely inadequate. It provides no input/output format, no examples, no behavior description, and no error handling information. An agent would have no idea what to send or what to expect in return. The tool appears to be a duplicate or removed service, which further undermines its completeness.
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 descriptions are generic placeholders ('Text to process', 'Type to process', 'Keywords to process') that convey no tool-specific meaning. The description does not clarify what 'text', 'type', or 'keywords' mean in the context of generating brand/project name ideas. With 100% schema coverage but descriptions that are useless, the agent has no way to know what parameters to pass.
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 is essentially a tautology – it repeats the tool name and adds a vague noun phrase 'Brand/project name ideas'. It includes a maintenance note '[下架·不上架] 重复服务' (roughly 'removed·not to be listed' and 'duplicate service'), which is confusing and actively misleading for an agent trying to understand its function. No clear verb or resource is stated, and it does not differentiate from sibling tools like x402-ai-naming or x402-ai-tagline.
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?
There is no guidance on when to use this tool versus alternatives. No context, prerequisites, or conditions are provided. The description gives zero indication of the intended use case or how to decide between this and the many other AI naming-related tools in the sibling list.
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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