x402-char-count
Char Count: Count characters in a string.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| text | No | Text to process | |
| input | No | Input to process |
Char Count: Count characters in a string.
| Name | Required | Description | Default |
|---|---|---|---|
| text | No | Text to process | |
| input | No | Input to process |
Changes observed during successful MCP inspections.
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 burden. It says nothing about how characters are counted (code points vs UTF-16 vs bytes), how emoji/multi-byte input is handled, what empty input returns, or what the output looks like — all of which matter for a character-counting tool.
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 a single, front-loaded sentence with no padding. It is efficient, though perhaps too terse for the ambiguity it leaves behind.
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 trivial two-parameter tool with no annotations and no output schema, the description is minimally adequate but omits the return value (a number) and does not resolve the duplicate-parameter question, so an agent still has to guess at invocation details.
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 coverage is 100%, which normally justifies a baseline 3, but the schema exposes two near-duplicate parameters ('text' and 'input', both described as text/input 'to process'). The description says 'a string' (singular) and never clarifies which parameter is used or how they interact, leaving the ambiguity unresolved.
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 gives a clear verb + resource ('Count characters in a string'), so an agent knows the operation. However, the 'Char Count:' prefix merely restates the tool name, and it offers no differentiation from near-identical siblings such as x402-character-count, x402-byte-count, x402-digit-count, or x402-word-count.
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, and no mention of alternatives. With a sibling named x402-character-count that appears to do the same thing, the absence of any routing hint is a real gap.
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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