x402-html-entity
HTML Entity: Encode/decode HTML entities.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| op | No | Op to process |
HTML Entity: Encode/decode HTML entities.
| Name | Required | Description | Default |
|---|---|---|---|
| op | No | Op to process |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure. It only states that the tool encodes/decodes HTML entities; it does not explain how the op parameter selects the behavior, what input format is expected, what gets returned, or how errors are handled. This is minimal disclosure.
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, but the leading 'HTML Entity:' phrase is redundant with the tool name and adds no value. The core sentence 'Encode/decode HTML entities' is concise, but the structure wastes a few words and lacks essential invocation details.
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 a single parameter and no annotations or output schema, the description is not complete enough to invoke correctly. The agent is left guessing what values 'op' accepts, where the input text goes, and what the response looks like. The basic purpose is stated, but the critical usage details are missing.
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%, so the baseline is 3. However, the parameter description 'Op to process' is tautological, and the tool description only indirectly suggests that op might accept 'encode' or 'decode'. The description adds little beyond the schema, but the high coverage keeps this at the baseline.
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 states a specific operation — encode/decode HTML entities — with a clear resource (HTML entities). It tells an agent what the tool does, but it does not distinguish it from nearby siblings like x402-escape-html or x402-strip-html, so it falls short of a 5.
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 versus alternatives, and no indication of how to choose between encode and decode via the 'op' parameter. The description simply names the operation without providing context or exclusion criteria.
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.