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minia2a-mcp

x402-remove-punct

Remove Punct: Remove Punct

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keepNoKeep to process
inputNoInput to process

TDQS

D1.3/5.0
Behavior1/5

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

With no annotations, the description carries the full burden of behavioral disclosure, and it fails completely. It does not state which characters are treated as punctuation, whether whitespace is kept, how the 'keep' parameter affects removal, or what edge cases exist. The description merely repeats the tool's name.

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 is technically short, but it is under-specified rather than concise: the phrase 'Remove Punct' appears twice and conveys no operational information. Neither sentence earns its place because neither adds usable meaning for an agent.

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 text-processing tool with no annotations, no output schema, and ambiguous parameters, this description is completely inadequate. An agent cannot determine the function's behavior, expected input format, return value, or how to use the 'keep' parameter correctly.

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 100%, the parameter descriptions 'Keep to process' and 'Input to process' are themselves tautological and uninformative. The tool description adds no meaning to either parameter, leaving ambiguity about what 'keep' actually controls and how 'input' relates to the removal operation.

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 'Remove Punct: Remove Punct' is a pure tautology that restates the tool name and title without any verb-resource detail. It does not explain what removes punctuation from what, what the output is, or how this tool differs from the many similar siblings like x402-strip-punctuation, x402-remove-accents, or x402-strip-tags.

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

Usage Guidelines1/5

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

There is no guidance whatsoever about when to use this tool versus alternatives. The description provides no usage context, no exclusions, and no mention of the many overlapping sibling tools such as x402-strip-punctuation or x402-remove-whitespace, leaving the agent to guess.

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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