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x402-word-count

Word Count: Counts whitespace-separated words and characters in text 🆓 5 free trial calls per signed wallet

Input Schema

NameRequiredDescriptionDefault
textNo
inputNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • removedInput schema / properties / input / description
      Removed value: -"Input to process"
    • removedInput schema / properties / text / description
      Removed value: -"Text to process"
  2. Changed1 schema field changed
    • addedInput schema / properties / text
      Added value: +{
      +  "description": "Text to process",
      +  "type": "string"
      +}
  3. Changed1 schema field changed
    • addedInput schema / properties / input
      Added value: +{
      +  "description": "Input to process",
      +  "type": "string"
      +}
  4. First observed

TDQS

C2.9/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden, and it does add two genuine behavioral facts: the whitespace-separated counting rule and the per-wallet free-trial limit, which matters for a metered x402 endpoint. It still says nothing about return shape, empty/null input handling, or what 'characters' includes (whitespace, unicode, emoji).

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two short front-loaded fragments with no filler; the purpose leads and the cost note trails. The emoji pricing tag is slightly noisy but is the only commercial signal an agent gets.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with no annotations, no output schema, and two entirely undocumented parameters, the description is under-specified: no alternatives, no return semantics, and no disambiguation of the duplicate input fields. A caller cannot confidently construct a request from this alone.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0% and the description names no parameters. Two string parameters, 'text' and 'input', are offered with no explanation at all, so an agent cannot tell whether they are aliases, whether one must be set, or which takes precedence when both are supplied.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Counts whitespace-separated words and characters in text'), and even clarifies the tokenization rule, which is more than a bare restatement. It does not, however, distinguish itself from close siblings such as x402-char-count, x402-character-count, x402-whitespace-count or x402-word-frequency, leaving overlap unresolved.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no statement of when to use this tool rather than the many adjacent counting tools, and no prerequisites or exclusions. The only usage-adjacent information is the pricing note, which is about cost, not about selection.

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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