x402-banner-grab
Banner Grab: Banner Grab
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| host | No | Host to process | |
| port | No | Port to process | |
| input | No | Input to process |
Banner Grab: Banner Grab
| Name | Required | Description | Default |
|---|---|---|---|
| host | No | Host to process | |
| port | No | Port to process | |
| input | No | Input to process |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of explaining side effects, prerequisites, network behavior, timeouts, or performance characteristics. It discloses none of these; 'Banner Grab' alone is not a behavioral statement.
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 text is short, but this is under-specification rather than efficient concision. It does not front-load actionable information because there is no actionable 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?
With no annotations, no output schema, three vaguely described parameters, and no explanation of behavior, return values, or required inputs, the description is completely inadequate for an agent to select or invoke this 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 100%, but every description is a meaningless placeholder like 'Host to process', 'Port to process', and 'Input to process'. The tool description adds no meaning beyond these generic labels, so the high coverage does not translate into real semantic clarity.
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 is a tautology: 'Banner Grab: Banner Grab' restates the tool name without adding a verb, resource, or any detail about what behavior is performed. It cannot be distinguished from the hundreds of sibling tools because it gives no concrete clue what a 'banner grab' actually does.
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 use this tool, what scenarios it is suited for, or how it differs from alternatives. No exclusions, no context, and no reference to sibling tools are present.
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.