x402-url-inspect
URL Inspect: Inspect a URL — redirects, security, and content.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| input | No | Input to process |
URL Inspect: Inspect a URL — redirects, security, and content.
| 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. It only lists the inspection topics and does not mention that this likely performs a network operation, what 'security' inspection involves, whether content is fetched, what side effects occur, or what the result contains.
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, front-loaded, and free of unnecessary elaboration. The 'URL Inspect:' prefix restates the tool name, which is a minor waste, but the dash-delimited scope list is compact and efficient.
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?
There is no output schema and no annotations, so the description should explain what the tool returns and how the inspection behaves. It does neither, leaving an agent unsure whether the output is a report, a score, a redirect chain, or a content summary. This is especially incomplete for a network-touching tool.
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 parameter is generic ('Input to process'), and the description adds the meaningful detail that the input should be a URL. However, it does not clarify expected URL format, whether scheme is required, or whether entire URLs vs hostnames are accepted. Since the schema already documents the parameter name, this is adequate but minimal.
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 identifies a specific verb and resource ('Inspect a URL') and enumerates three inspection scopes: redirects, security, and content. This makes the basic purpose clear, though it does not differentiate from URL-related siblings like url-parse, redirect-trace, or http-analyze.
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 versus alternatives such as url-parse, redirect-trace, or site-audit. The description implies a general URL inspection use case but provides no conditions, exclusions, or comparative guidance.
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.