x402-sentence-case
Sentence Case: Lowercases text then capitalizes the first letter of each sentence 🆓 5 free trial calls per signed wallet
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| text | No | ||
| input | No |
Sentence Case: Lowercases text then capitalizes the first letter of each sentence 🆓 5 free trial calls per signed wallet
| Name | Required | Description | Default |
|---|---|---|---|
| text | No | ||
| input | No |
Changes observed during successful MCP inspections.
Input schema / properties / input / descriptionRemoved value: -"Input to process"Input schema / properties / text / descriptionRemoved value: -"Text to process"Input schema / properties / textAdded value: +{
+ "description": "Text to process",
+ "type": "string"
+}Input schema / properties / inputAdded value: +{
+ "description": "Input 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 disclose the exact transformation semantics (lowercase everything, then re-capitalize sentence starts), which is genuinely useful, and the trial-call line hints at the wallet/payment model. However, it says nothing about input handling, failure behavior, or what happens with the two ambiguous input fields.
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 tight sentence puts the transformation front and center, followed by a short promo clause. Nothing is bloated, though the emoji-laden pricing line is marketing rather than tool guidance and could be trimmed.
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 simple text transform with no output schema, the description covers what the tool does adequately. The unresolved ambiguity between the 'text' and 'input' parameters is the notable hole, since nothing in either the description or the schema tells an agent which to populate.
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 description coverage is 0% for two string parameters named 'text' and 'input' with zero required fields. The description mentions 'text' only incidentally inside the transformation sentence and does nothing to disambiguate which field is the actual payload or how the two relate. It fails to compensate for the coverage gap.
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 specific transformation with a clear verb pair and resource: 'Lowercases text then capitalizes the first letter of each sentence.' This is precise enough to distinguish it semantically from case-adjacent siblings like x402-title-case or x402-toggle-case, but it never names or contrasts with any sibling explicitly.
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 conditions for selecting this over x402-title-case, x402-case, or x402-pascal-case, and no stated prerequisites. The only extra context is a promo line about free trial calls, which is not usage guidance.
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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