x402-ai-outline
AI Outline: Generate an outline with AI.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| depth | No | Depth to process | |
| title | No | Title to process | |
| topic | No | Topic to process |
AI Outline: Generate an outline with AI.
| Name | Required | Description | Default |
|---|---|---|---|
| depth | No | Depth to process | |
| title | No | Title to process | |
| topic | No | Topic 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 must carry the full burden. It reveals the core behavior (AI outline generation) but does not disclose output format, structure, length, or any other behavioral traits that would help an agent anticipate results.
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?
Extremely short, but it essentially repeats the tool name ('AI Outline' vs x402-ai-outline) and provides minimal informative content. This is under-specification rather than efficient conciseness.
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 optional parameters, no output schema, and no usage context, the description does not explain what depth means, whether both title and topic are expected, or what the outline will look like. Incomplete for reliable invocation.
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 descriptions cover all three parameters, though they are generic ('Depth to process', 'Title to process'). The description adds no extra semantic context about how parameters relate or valid 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 verb and resource: generate an outline with AI. However, it does not distinguish from siblings like x402-ai-blog-outline or other AI content tools.
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 on when to use this tool versus alternatives such as x402-ai-blog-outline or x402-ai-summarize. The description offers no conditions 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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