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minia2a-mcp

x402-text-pad

Text Pad: Pad text to a specified length. Provide text and optional length; supports alignment modes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nNoN to process
padNoPad to process
charNoChar to process
sideNoSide to process
inputNoInput to process

TDQS

C2.7/5.0
Behavior2/5

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

There are no annotations, so the description carries the full burden of behavioral disclosure, but it only describes the high-level operation. It does not disclose defaults for the optional length, the default padding character, behavior when the text is already longer than the target length, or how alignment modes are specified.

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?

The description is concise and front-loaded, with the core action in the first sentence and minimal filler. The redundant 'Text Pad:' prefix adds slight noise, but overall it is efficiently written.

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 tool with five parameters, no meaningful schema descriptions, no annotations, and no output schema, the description is insufficient to reliably construct a call. The agent cannot determine accepted values for side, the difference between pad and char, whether length maps to n, or what happens when length is omitted.

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

Parameters2/5

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

Although schema coverage is technically 100%, every parameter description is a placeholder ('N to process', 'Pad to process'), so the schema provides no real meaning. The prose hints at text, optional length, and alignment modes but never maps these concepts to the actual parameters n, pad, char, side, and input, leaving the agent to guess.

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?

The description states a specific operation—pad text to a specified length—and mentions alignment modes, which identifies the core resource and behavior. However, it does not explicitly differentiate it from closely related sibling tools like x402-zero-pad or x402-text-wrap, so it stops 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.

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus the many adjacent text-manipulation siblings such as text-wrap, zero-pad, text-indent, or indent-lines. The description only implies a generic use case without offering alternatives, exclusions, or context about when this tool is the right choice.

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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TDQS

D1.6/5.0
Disambiguation1/5

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.

Naming Consistency2/5

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.

Tool Count1/5

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.

Completeness2/5

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.

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