x402-word-frequency
Word Frequency: Count word frequency in text.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Word Frequency: Count word frequency in text.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, so the description carries the full burden of behavioral disclosure, yet it only restates the operation. It does not state the output format, case sensitivity, stopword handling, or how the text input is supplied — a critical gap given the empty input schema.
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?
Seven words with the main idea front-loaded is admirably brief, and no sentence is wasted. The 'Word Frequency:' prefix merely echoes the tool name, but the body still adds the verb and resource, so the cost is minor.
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, and an empty input schema, this description is the sole documentation for the tool, and it is far too thin. It lacks the input mechanism, return format, and differentiation from x402-word-count / x402-word-density, so an agent cannot prepare a correct call.
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?
The schema declares zero parameters, yet the operation obviously requires text input. The description does not resolve how the text reaches the tool or what shape the frequency result takes; with an empty schema, the description was the only chance to clarify the invocation contract and it stays silent.
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 ('Count') and a specific resource ('word frequency in text'), so the core operation is understandable. However, it does nothing to distinguish itself from closely related siblings such as x402-word-count, x402-word-density, and x402-frequency, which an agent could easily confuse with this tool.
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 guidance is given about when to use this tool or how it differs from alternatives like x402-word-count, x402-keyword-density, or x402-text-stats. An agent has no basis for choosing this over its near-neighbors, so misuse risk is high.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
The tool set is saturated with near-duplicates and synonyms: character-count vs char-count, clamp vs clamp-value, is-abundant vs is-abundant-num vs is-abundant-number, and fetch vs browser-scrape vs web-scrape vs text-scrape. Generic names like 'difference', 'normalize', 'range', and 'partition' make the boundaries even harder for an agent to determine.
Most tools share a x402- kebab-case prefix, but the set mixes noun-only names (math, hash, prime, time), verb-first names (get_stats, find, validate), auto-generated names (x402-publish-1787853294312-base-account), and inconsistent variants like temp vs temperature vs temperature-convert. This is not a coherent verb_noun convention despite the common prefix.
1677 tools is an extreme count that creates selection paralysis and makes coherent agent use impractical. A utility or marketplace server at this scale needs sub-services or namespacing rather than a flat tool list.
The surface has broad token coverage across many utility categories, but the marketplace aspect is incomplete: service_discovery and get_stats exist, yet there are no generic publish, update, delete, or account-management operations. Utility families also contain redundant variants without clear completion or lifecycle structure.