x402-script-detect
Script Detect: Script Detect
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| input | No | Input to process |
Script Detect: Script Detect
| Name | Required | Description | Default |
|---|---|---|---|
| input | No | Input to process |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure, and it reveals nothing: no indication of what the tool outputs, whether it is read-only, how it processes the input, or what its response format looks like. A one-sentence tautology provides zero transparency.
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?
The description is short, but this is under-specification rather than conciseness. The single sentence 'Script Detect: Script Detect' contains no information and does not earn its place. The colon-title format reads like an unfilled template placeholder rather than a deliberate, information-dense definition.
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 tool whose meaning is ambiguous, with a single optional unenforced parameter, no output schema, and no annotations, the description is completely inadequate. An agent cannot determine the input format, the output shape, the semantic meaning of 'script', or how the tool differs from its many detection siblings. Everything essential to calling it correctly is missing.
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% — the single 'input' parameter has the description 'Input to process' — so the baseline of 3 applies. The tool description adds nothing beyond the schema, and the schema text is so generic ('Input to process') that it provides no clue about the expected format (code text, URL, filename, or HTML fragment), but it technically documents the parameter. Notably, the parameter is not marked required, which is unusual and unexplained.
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 'Script Detect: Script Detect' is a pure tautology — it merely restates the tool name in both the title position and the body, revealing nothing about what 'script' refers to (programming language detection, HTML script tag detection, screenplay classification, or something else). It states no verb, resource, or functional scope, and among hundreds of sibling 'detect' tools (x402-service-detect, x402-language-detect, x402-mime-detect), there is zero differentiation.
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?
The description offers no guidance whatsoever about when to invoke this tool, what input warrants it, or which of the many sibling detection tools would be a better fit. An agent browsing the sibling list would have no basis to choose x402-script-detect over x402-charset-detect, x402-service-detect, or any other detect variant.
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.