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x402-abi-encode

ABI Encode: Encode function arguments into ABI calldata.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typesNoTypes to process
valuesNoValues to process

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / values
      Added value: +{
      +  "description": "Values to process",
      +  "type": "string"
      +}
  2. First observed

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden, yet it only restates the transform. It doesn't say whether the output includes the 4-byte function selector, how errors are surfaced on type mismatches, or what encoding rules apply, all of which matter for a correctness-sensitive encoding tool.

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

Conciseness4/5

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

A single front-loaded sentence with no filler. It is efficient but arguably too terse for a tool whose input format needs explaining.

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

Completeness2/5

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

For a no-annotation, no-output-schema tool, the description omits the critical operational detail: the expected format of 'types' and 'values' (e.g., comma-separated type list paired with values) and whether selector inclusion is controlled. An agent could easily call it with malformed input.

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

Parameters3/5

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

Schema description coverage is 100%, so the schema nominally documents both parameters (albeit with generic text like 'Types to process'). The description adds no format detail beyond the schema, so the baseline 3 is appropriate when the schema does the heavy lifting.

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 ('Encode') and resource ('function arguments into ABI calldata'), so an agent immediately knows the transformation performed. It does not explicitly distinguish itself from the inverse sibling x402-abi-decode or x402-abi-lookup, but the encode/decode naming makes the distinction inferable.

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?

No when-to-use guidance, no prerequisites, and no mention of the natural alternative (x402-abi-decode for the inverse operation, or x402-abi-lookup for resolving selectors). The agent must infer context from the tool name alone.

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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