x402-char-codes
Char Codes: Character codes (ASCII/Unicode).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Char Codes: Character codes (ASCII/Unicode).
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations present, the description carries the full burden of behavioral disclosure, and it discloses almost none. It never says what invoking the tool does, what the return value is, or whether it is a read-only lookup/constant. There is no behavioral trait beyond the domain phrase 'character codes'.
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 very short and the ASCII/Unicode scope is front-loaded, but the leading 'Char Codes' label merely repeats the tool name. The fragment structure saves space at the cost of functional specificity, making it concise but not well-rounded.
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 or annotations, and the description does not explain what a caller receives or how the tool is meant to be used. For a no-parameter tool this reduces the ambiguity about inputs, but the absence of any return-value or behavior information still leaves the tool incomplete for an agent.
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 input schema is empty (0 parameters), so there are no parameter semantics for the description to clarify. Per the 0-param baseline, the description need not add parameter-level detail, and the schema already covers everything that could be said about inputs.
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 essentially a restatement of the tool name: 'Char Codes: Character codes (ASCII/Unicode).' The only added detail is the ASCII/Unicode scope, and there is no verb indicating whether the tool converts characters to codes, codes to characters, or returns a reference table. It also fails to distinguish the tool from close siblings such as x402-code-points, x402-from-unicode, and x402-to-unicode.
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 when-to-use, when-not-to-use, or alternative selection guidance is provided. The agent cannot tell from the description which of the many character/code-related sibling tools should be chosen, so the tool is only weakly positioned for correct selection.
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.