x402-lowercase-ratio
Lowercase Ratio: Ratio of lowercase.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| text | No | Text to process | |
| input | No | Input to process |
Lowercase Ratio: Ratio of lowercase.
| Name | Required | Description | Default |
|---|---|---|---|
| text | No | Text to process | |
| input | No | Input to process |
Changes observed during successful MCP inspections.
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 provided, so the description carries the full behavioural burden, and it discloses nothing: no mention of what counts as a lowercase character, how non-letter characters affect the ratio, the denominator, or the return shape. An agent cannot predict the output from this text.
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?
Four words, but not concise in any useful sense – it is under-specified rather than tight. The name and the description restate the same phrase, so the sentence adds no information.
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 computation tool with no annotations, no output schema, and an ambiguous two-parameter input, the description supplies none of the missing context: it does not say what the ratio is over, what the result looks like, or how the two input fields interact. It is inadequate for the tool's complexity.
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 100%, so the two parameters ("text" and "input") are documented in the schema itself. However, the two parameters are ambiguous duplicates and the description does not clarify which one is used, where they take precedence, or why both exist. Baseline 3 applies because the schema does the lifting, but the description fails to resolve the schema's own ambiguity.
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?
"Lowercase Ratio: Ratio of lowercase." restates the tool name without a verb, without stating what is measured (characters? words? bytes?), and without distinguishing it from the many other text-metric siblings such as x402-lowercase-count, x402-uppercase-ratio, x402-mixed-case-ratio, and x402-char-diversity.
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 offered. In a catalog with x402-lowercase-count and x402-uppercase-ratio as near-neighbors, the agent is given nothing to route on.
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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