x402-html-table-extract
HTML Table Extract: HTML Table Extract
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| html | No | Html to process | |
| input | No | Input to process |
HTML Table Extract: HTML Table Extract
| Name | Required | Description | Default |
|---|---|---|---|
| html | No | Html 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 entire burden of behavioral disclosure. The description gives no hint of inputs, outputs, side effects, format expectations, or edge cases—only a repetition of the name. There is no substantive behavioral information beyond the tool's own label.
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 extremely short, but this is under-specification rather than conciseness. The single sentence does not earn its place; it merely echoes the tool name and title, providing zero useful content. There is no front-loading of meaningful information because no meaningful information exists.
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?
This is a tool called html-table-extract with two parameters, no output schema, and no annotations, yet the description explains nothing about what to pass, what the result will be, or how the extraction behaves. The definition is entirely 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 description coverage is 100% since both parameters have descriptions, but those descriptions ('Html to process' and 'Input to process') are vague and nearly identical, offering little clarity about the distinction between html and input. The tool description adds nothing beyond this. Baseline 3 applies per the high-coverage rule, though the parameter semantics are weak.
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 'HTML Table Extract: HTML Table Extract' is a pure tautology that restates the tool name and title without adding a verb, a specific resource, or any functional detail. It provides no information about what the tool actually does, so an agent cannot distinguish it from siblings like x402-html-text-extract or x402-markdown-table.
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 contains no guidance whatsoever about when to use this tool or when to prefer a sibling. No context, exclusions, or alternatives are mentioned. It fails to indicate scenarios where this tool is appropriate, leaving the agent entirely unassisted.
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.