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minia2a-mcp

x402-text-report

Text Report: Generate a text report from data.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputNoInput to process

TDQS

C2.5/5.0
Behavior2/5

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

No annotations exist, so the description carries the full burden of behavioral disclosure, and it discloses almost nothing: no output format, no expected input structure, no side-effect or safety profile. The verb 'generate' at least implies a non-destructive transformation that produces a new artifact, which is the sole behavioral signal present.

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

Conciseness3/5

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

The description is a single sentence with no bulky wording, but the 'Text Report:' prefix duplicates the tool name, and the remaining clause is under-specified rather than efficiently complete. This brevity is a symptom of missing substance rather than disciplined editing.

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?

With no annotations and no output schema, the description should explain the return value and the input contract, but it does neither. The tool sits in an enormous sibling list with ambiguous overlaps (x402-report, x402-text-toolkit, x402-number-report, x402-wallet-report), and nothing in the description helps an agent select it correctly or predict its output.

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 description coverage is 100% — the sole parameter 'input' is described as 'Input to process' — so the baseline is 3. The tool description adds zero information about what the input should contain or in what format it should be supplied, and the schema's own parameter description is maximally generic.

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

Purpose3/5

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

The description states a verb ('Generate') and a resource ('text report from data'), so it clears the tautology bar. However, 'text report' is never defined, and nothing distinguishes this from siblings such as x402-report, x402-text-stats, or x402-text-toolkit. The leading 'Text Report:' prefix simply restates the tool name.

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 when-to-use guidance, no exclusions, and no alternatives named. With hundreds of siblings including x402-report and x402-text-toolkit, an agent has no basis for choosing this tool over those. The only implied context is trivial — 'use when you need a text report' — which the name already conveys.

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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