x402-content-word-ratio
Content Word Ratio: Ratio of content word. 🆓 5 free trial calls per signed wallet
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| text | No | ||
| input | No |
Content Word Ratio: Ratio of content word. 🆓 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 / inputAdded value: +{
+ "description": "Input to process",
+ "type": "string"
+}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 supplied, so the description carries the full behavioral burden, and it says nothing about what the operation returns, the scale of the ratio (0-1 vs percent), or how empty input is handled. It does add one genuinely useful behavioral fact - the x402 payment model with 5 free trial calls per signed wallet - but that is pricing, not operation behavior.
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?
It is short and front-loaded, but the content is largely a restatement of the name plus an emoji-tagged pricing line. Nothing is padded, but nothing is informative either - brevity here reflects under-specification rather than tight writing.
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 no annotations, no output schema, two ambiguous optional parameters, and no explanation of the returned metric, an agent cannot confidently call this tool. The definition should at minimum explain the ratio's definition and which parameter supplies the text.
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% and both parameters are undocumented. The description does not disambiguate the two string parameters (text vs input) or say which one is consumed, which is the single most important clarification for this tool.
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?
"Content Word Ratio: Ratio of content word" essentially restates the tool name rather than stating what it does. It never says it takes text input and returns the proportion of content (non-function) words, nor does it distinguish it from text-analysis siblings such as x402-word-density, x402-lexical-diversity, or x402-content-score.
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 or when-not-to-use guidance and no named alternative. The crowded set of near-neighbor text-metric siblings makes the absence of routing guidance a real gap, and the only added context is a pricing note.
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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