x402-base58
Base58: Base58 encode/decode.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| op | No | Op to process | |
| data | No | Data to process | |
| mode | No | Mode to process | |
| input | No | Input to process |
Base58: Base58 encode/decode.
| Name | Required | Description | Default |
|---|---|---|---|
| op | No | Op to process | |
| data | No | Data to process | |
| mode | No | Mode to process | |
| input | No | Input to process |
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 only states the bare operation. It does not specify how the encode vs decode mode is selected, which alphabet variant is used, whether Base58Check/checksum handling exists, how invalid input behaves, or what the return value looks like. The single useful behavioral signal is that the tool does both encoding and decoding rather than only one.
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 only one short sentence and contains no wasted words, but this is thinness rather than conciseness. Given the tool has four generic parameters and two operation modes, the single line does not earn its place because it omits all invocation-critical information. Under-specification is not a virtue here.
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 dual-operation tool with four generically named string parameters, no required fields, no enums, no output schema, and no annotations to compensate. The description explains none of the following: which parameter picks encode vs decode, what input format is expected, what output format is returned, or what happens on invalid Base58 characters. An agent is effectively guessing on every call, which is completely inadequate for this complexity.
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?
Even though schema coverage is reported at 100%, every parameter description is semantically empty ('Op to process', 'Data to process', 'Mode to process', 'Input to process') — they only assert that the parameter is a string. The tool description adds nothing about which of op/mode selects the operation direction or what data/input must contain, and with 0 required parameters and ambiguous op/mode and data/input pairs, an agent cannot reliably construct a valid call.
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 clear operation ('encode/decode') on a specific resource (Base58), so an agent can tell this is the Base58 codec tool. It is not a pure tautology because 'encode/decode' is genuinely new information beyond the tool name. However, it does not differentiate itself from encoding siblings such as x402-base32, x402-base64, or x402-base64url beyond naming the codec.
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 zero guidance on when to use this tool vs alternatives. The agent is not told whether to prefer this over x402-base32, x402-base64url, x402-hex-encode, or any other encoding sibling, nor are exclusions or prerequisites mentioned. This is a 'no guidance' case, not a misleading one.
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.