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minia2a-mcp

x402-indent

Indent: Indent each line of text by a number of spaces. Provide text and optional spaces (or n); returns indented text.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nNoN to process
inputNoInput to process
spacesNoSpaces to process

TDQS

B3.2/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It discloses the core transformation and return type, but leaves out useful details such as the default indentation when neither spaces nor n is provided, how blank lines behave, and what happens if both spaces and n are supplied.

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 a single efficient sentence with the main operation front-loaded. Minor redundancy comes from the leading 'Indent:' label, but no words are wasted.

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

Completeness3/5

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

For a simple text transformation, the description is minimally adequate: it names the input, the indentation amount, and the output. However, it lacks an example, a default indentation value, and a clear statement of how the three optional parameters relate, so an agent might still call it incorrectly.

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 coverage is 100%, so the baseline is 3, and the schema descriptions themselves are generic ('Input to process', 'Spaces to process') and provide almost no real meaning. The description adds that spaces or n control indentation, which is helpful, but it does not clarify parameter types, defaults, or precedence between n and spaces.

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 gives a clear verb and resource: 'Indent each line of text by a number of spaces.' It states what the tool does and even mentions the return value. It does not differentiate itself from closely related siblings like x402-indent-lines or x402-text-indent, so it loses the top point.

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?

The description explains how to invoke it ('Provide text and optional spaces') but gives no guidance on when to choose this tool over alternatives. Given siblings with very similar purposes, an agent has no basis for preferring this one over x402-indent-lines or x402-text-indent.

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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