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x402-base58

Base58: Base58 encode/decode. 🆓 5 free trial calls per signed wallet

Input Schema

NameRequiredDescriptionDefault
opNo
dataNo
modeNo
textNo
inputNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed5 schema fields changed
    • removedInput schema / properties / data / description
      Removed value: -"Data to process"
    • removedInput schema / properties / input / description
      Removed value: -"Input to process"
    • removedInput schema / properties / mode / description
      Removed value: -"Mode to process"
    • removedInput schema / properties / op / description
      Removed value: -"Op to process"
    • removedInput schema / properties / text / description
      Removed value: -"Text to process"
  2. Changed1 schema field changed
    • addedInput schema / properties / text
      Added value: +{
      +  "description": "Text to process",
      +  "type": "string"
      +}
  3. First observed

TDQS

C2.4/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are supplied, so the description carries the full behavioral burden and mostly drops it. The free-trial/wallet-signing note does reveal a real behavioral trait (paid access with a trial quota), but the description says nothing about how encode vs decode is selected, error behavior on invalid Base58 input, or output shape.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two short sentences with the operation stated first, so nothing is buried. The second sentence is a promo/pricing line that takes space without helping the agent call the tool correctly, and the overall text is under-specified rather than wasteful.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 5-parameter tool with zero annotation coverage, no output schema, and no schema descriptions, the definition is far too thin. An agent would have to guess which of op/mode/data/text/input to set and in what format, and would not know what a successful response contains.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% across 5 parameters (op, data, mode, text, input), and there are no enums or required fields. The description adds no mapping between these parameters and the encode/decode directions, and it leaves the overlapping data/text/input parameters entirely ambiguous, so an agent cannot tell which field to populate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb pair and resource: 'Base58 encode/decode'. An agent immediately knows this is a bidirectional codec. However, it never contrasts itself with near-identical siblings such as x402-base64, x402-base32, or x402-hex-encode, so disambiguation relies entirely on the name.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance at all — no mention of when Base58 is preferable to base64/base32, no input format expectations, and no alternatives named. The only extra clause is a pricing note about 5 free trial calls per signed wallet, which is commercial context rather than invocation guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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