x402-is-url
Is URL: Check whether a string is a valid URL. Provide value or input; returns true if it parses as a URL.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Is URL: Check whether a string is a valid URL. Provide value or input; returns true if it parses as a URL.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description discloses the true/false result and implies a read-only check. It leaves the semantics of 'valid' vs 'parses' unspecified and gives no edge-case behavior, but the return condition is at least stated.
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?
Two sentences with the core purpose front-loaded. The 'Is URL:' prefix repeats the tool name and 'value or input' is slightly redundant, but there is no significant padding.
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 tool is simple, but the empty schema plus an implied string input leaves a fundamental gap: the agent cannot determine how to supply the URL. The description needs to either align with a defined parameter or explain the generic input mechanism.
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 contains zero properties, yet the description tells the agent to 'provide value or input', creating a mismatch. The description adds the fact that a string is needed, but it never names a parameter or explains how the value reaches the tool, making the invocation not actionable.
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 clearly identifies a boolean predicate: check whether a string is a valid URL and return true when it parses as one. It does not, however, distinguish itself from the overlapping x402-validate-url and x402-url-parse siblings.
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 choose this tool versus the many neighboring URL validation/inspection tools. 'Provide value or input' describes invocation, not selection context, so an agent has no basis for preferring this tool over x402-validate-url.
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.