x402-count-emoji
Count Emoji: Count emoji characters in text, matching the U+1F300-U+1FAFF and U+2600-U+27BF ranges, and return the total. 🆓 5 free trial calls per signed wallet
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| text | No | ||
| input | No |
Count Emoji: Count emoji characters in text, matching the U+1F300-U+1FAFF and U+2600-U+27BF ranges, and return the total. 🆓 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?
With no annotations supplied, the description carries the full burden. It does disclose useful behavior: the matching ranges, that the result is a total count, and a paid-tier note ('5 free trial calls per signed wallet'). It says nothing about what happens when the text is empty, when both input fields are supplied, or what the response payload looks like beyond 'the total'.
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 front-loads the operation and matching rules, followed by a short pricing note. Nothing is redundant and the essential information appears first.
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?
The operation itself is simple enough that the description covers the core semantics, and with no output schema the 'return the total' line suffices. However, for a tool with two undocumented, optional, overlapping input parameters, the definition leaves the calling convention incomplete.
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 the schema itself exposes two unexplained string parameters, 'text' and 'input', with neither required. The description mentions 'text' generically but never explains the duplicate 'input' parameter, which one is authoritative, or whether both are merged — a genuine ambiguity an agent cannot resolve from the schema.
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 names a specific verb and resource ('Count Emoji: Count emoji characters in text') and even pins the exact Unicode ranges (U+1F300-U+1FAFF, U+2600-U+27BF) plus the returned value. It distinguishes itself implicitly from siblings like x402-has-emoji, x402-strip-emoji and x402-remove-emoji by being a counting operation, but it never names those alternatives.
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 guidance on when to use this tool versus the many adjacent emoji and character-count siblings (x402-emoji, x402-has-emoji, x402-random-emoji, x402-char-count). The only context offered is a pricing note about free trial calls, which does not help an agent choose the tool or know its prerequisites.
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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