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minia2a-mcp

x402-normalize-whitespace

Normalize Whitespace: Normalize Whitespace

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

D1.7/5.0
Behavior1/5

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

With no annotations and no behavioral detail, the description carries the full disclosure burden and fails entirely. The agent cannot know whether normalize means collapsing repeated spaces, trimming edges, replacing tabs/newlines, converting Unicode whitespace, or something else—nor whether it returns transformed text, a count, or a report.

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 short, but this is under-specification, not conciseness. The second half of 'Normalize Whitespace: Normalize Whitespace' is a wasteful repetition that earns no information; the entire text fits in one breath and says nothing beyond the tool name.

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-manipulation tool with no parameters, no output schema, no annotations, and numerous similarly named siblings, this description is completely inadequate. An agent lacks every piece of information needed to select, invoke, or interpret this tool 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?

The schema has zero parameters, but a whitespace-normalization tool must receive text input from somewhere. The description does not clarify how input is supplied (hidden parameter, context, request body), so an agent cannot construct a meaningful invocation. The schema provides no help and the description adds none.

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

Purpose2/5

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

The description 'Normalize Whitespace: Normalize Whitespace' is a pure tautology—it restates the tool name and title verbatim without adding any detail. It conveys only that the tool does something with whitespace, which the name already said.

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 given on when to use this tool versus closely related siblings such as x402-remove-whitespace, x402-collapse-spaces, x402-whitespace-count, x402-text-clean, or x402-tab-to-space. The agent must guess what 'normalize' means relative to these alternatives.

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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