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minia2a-mcp

x402-strip-punctuation

Strip Punctuation: Strip punctuation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

D1.8/5.0
Behavior1/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure — and it says nothing beyond restating the name. An agent cannot learn which characters are stripped, whether whitespace is preserved, how text is passed into a tool with zero declared parameters, or what the return value looks like. The description adds no behavioral information whatsoever.

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

Conciseness2/5

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

The description spends its only sentence on a tautology — the content after the colon simply echoes the content before it. This is under-specification masquerading as conciseness; a genuinely efficient description would have used the space to name the input, the output, or the overlap with sibling tools.

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?

A text-transformation tool with zero annotations, an empty input schema, and no output schema leaves the desciption as the sole inormation source, and it delivers almost none. An agent cannot determine how to provide input, what precisely is stripped, or when to prefer this tool over the overlapping siblings (x402-remove-punct, x402-strip-emoji, x402-strip-tags, x402-text-clean). Completely inadequate for correct invokation.

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

Parameters4/5

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

There are 0 parameters and 0 required parameters, and schema description coverage is trivially 100% for an empty schema, so the 0-params baseline of 4 applies. The empty schema does raise an input-mechanism question, but that belongs to behavioral/completeness dimensions rather than to parameter documentation.

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

Purpose1/5

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

The description 'Strip Punctuation: Strip punctuation.' is a pure tautology — the first clause repeats the tool name and the second just restates it. It conveys no information about what text it operates on, what counts as punctuation, or what the output is, and it offers no way to distinguish this from the near-identical sibling x402-remove-punct.

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 guidance on when to use this tool versus alternatives. Among the sibling tools are x402-remove-punct, x402-punctuation-count, and several other text-cleaning tools, yet the description gives zero criteria for choosing among them, and it never explains how input is supplied given the empty schema. The guidance is absent rather than misleading, so it stops at a 2.

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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