x402-ai-headline
AI Headline: Generate a headline with AI.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| text | No | Text to process | |
| count | No | Count to process | |
| content | No | Content to process |
AI Headline: Generate a headline with AI.
| Name | Required | Description | Default |
|---|---|---|---|
| text | No | Text to process | |
| count | No | Count to process | |
| content | No | Content to process |
Changes observed during successful MCP inspections.
Input schema / properties / textAdded value: +{
+ "description": "Text to process",
+ "type": "string"
+}Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full disclosure burden, and it says nothing about behavior beyond 'generates'. It does not indicate which input fields drive generation, whether the call is deterministic, whether it costs/rate-limits, or what happens when multiple inputs are supplied.
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?
One short, front-loaded sentence with no padding, but the brevity here reflects under-specification rather than disciplined conciseness. There is no wasted word, yet also no useful content.
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?
With three parameters, no annotations, no output schema, and two seemingly redundant text inputs, the description is far too thin to let an agent invoke this correctly. Nothing compensates for the missing annotation and output-schema coverage.
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?
Schema coverage is nominally 100%, but the schema descriptions are placeholders ('Text to process', 'Count to process', 'Content to process') that convey no real semantics, and the description adds nothing. Critically, it never clarifies the apparent overlap between 'text' and 'content' or what the string-typed 'count' controls, which is exactly the ambiguity the description should resolve.
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 gives a verb and resource ('Generate a headline'), but it largely restates the tool name (x402-ai-headline), and the 'AI Headline:' prefix adds nothing. It offers no differentiation from close siblings such as x402-ai-tagline, x402-ai-blog-outline or x402-ai-seo-meta, leaving it ambiguous what kind of headline this produces (news, marketing, SEO).
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 when-to-use guidance, no prerequisite or input requirement, and no mention of alternatives. The description does not tell an agent when to pick this over the many other x402-ai-* generation tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.