x402-ai-social-bio
AI Social Bio: Generate a social bio with AI.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| text | No | Text to process | |
| about | No | About to process | |
| platform | No | Platform to process |
AI Social Bio: Generate a social bio with AI.
| Name | Required | Description | Default |
|---|---|---|---|
| text | No | Text to process | |
| about | No | About to process | |
| platform | No | Platform 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 behavioral burden. It does not say whether the call is a paid/generative request, whether output is a single bio or multiple variants, whether inputs are required or optional, or how it behaves with no input at all. Only the bare fact that generation happens is disclosed.
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 sentence, front-loaded and free of filler, so it is not bloated. But it is under-specified rather than concise: the same single line restates the name and title without spending its words on anything an agent needs.
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 zero-required-parameter generative tool with no annotations and no output schema, the description should at minimum say which inputs to supply and what comes back. It says neither. An agent could invoke it correctly only by guessing.
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 nominally covers all three parameters, but the 'descriptions' are vacuous placeholders ('Text to process', 'About to process', 'Platform to process') that convey no real semantics — not the expected format for 'platform', not what 'about' means relative to 'text', not whether any is required. The description adds no meaning on top, so there is effectively no parameter documentation anywhere.
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 verb+resource ('generate a social bio'), so the basic purpose is inferable. However, it adds nothing beyond the title, and among dozens of ai-* siblings (ai-bio-like tools, ai-tweet, ai-product-desc) it gives no signal about which platform or output it targets. Adequate but with real ambiguity.
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 when-to-use, when-not-to-use, or alternative is mentioned. In a catalog with many sibling generators (x402-ai-briefing, x402-ai-product-desc, x402-ai-tagline), the agent gets zero routing help. The 'with AI' clause implies a generative call but selects nothing.
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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