x402-url-shorten
URL Shorten: URL Shorten
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| input | No | Input to process |
URL Shorten: URL Shorten
| Name | Required | Description | Default |
|---|---|---|---|
| input | No | Input to process |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
There are no annotations and the description discloses zero behavioral traits. It does not mention input format, output format, side effects, rate limits, or any operational details. The agent has no information about what calling this tool will do.
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 not concise in a useful sense — it merely repeats the name. Under-specification is not conciseness. The sentence does not earn its place because it conveys no information.
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?
Even for a one-parameter tool, this description is completely inadequate. It does not state what input is expected, what output will be returned, or how it relates to the many sibling URL tools. An agent cannot confidently call this tool based on the given definition.
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% since the single 'input' parameter has a description, so the baseline is 3. However, the description 'Input to process' is extremely generic and the tool description adds no further meaning about what the input should be (e.g., a URL to shorten). The tool description contributes nothing beyond 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 'URL Shorten: URL Shorten' is a pure tautology — it restates the tool name without saying what the tool does. It does not even explicitly state that it shortens URLs or describe the transformation, making it indistinguishable from a placeholder.
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 usage guidance is provided. There is no indication of when to use this tool, what prerequisites exist, or how it differs from sibling tools like url-expand, url-unshorten, or url-canonical. The name alone implies URL shortening, but the description itself gives no context.
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.