x402-tls-version
Tls Version: Tls Version
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| host | No | Host to process | |
| input | No | Input to process | |
| domain | No | Domain to process |
Tls Version: Tls Version
| Name | Required | Description | Default |
|---|---|---|---|
| host | No | Host to process | |
| input | No | Input to process | |
| domain | No | Domain 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 discloses nothing. It does not state whether the tool performs a network request, whether host/domain are mandatory despite the schema marking them optional, what output it returns, or any side effects. The description is silent on all behavioral traits.
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?
At four words, the description is technically short, but this is under-specification rather than conciseness. It front-loads nothing of value—the entire content is a redundant restatement of the tool name. No sentence earns its place because no sentence conveys 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?
For a tool with 3 parameters, no annotations, and no output schema, the description needed to compensate for all missing structured context and does none of it. Information about required vs. optional parameters, return format, and error behavior is entirely absent. This definition is completely inadequate for an agent to select or invoke the tool correctly.
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 coverage is nominally 100%, but each parameter description ('Host to process', 'Input to process', 'Domain to process') is vacuous boilerplate that conveys no real meaning. The description adds nothing to clarify how host, input, and domain relate, which is the primary input vs. the domain, or what formats are expected. The 100% coverage is misleading because the schema descriptions are placeholders, not semantic documentation.
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 'Tls Version: Tls Version' is a pure tautology that merely restates the tool name with zero additional information. It contains no verb, no resource, and no statement of what action the tool performs (retrieves? checks? validates? TLS version?). An agent cannot determine what this tool does from this description.
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 provides no guidance whatsoever on when to use this tool. It does not mention any use case, prerequisite, or alternative among the hundreds of siblings (e.g., x402-ssl-check, x402-cert-expiry, x402-dns-lookup). There is nothing to distinguish when an agent should select this tool over a sibling.
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.