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minia2a-mcp

x402-password-entropy

Password Entropy: Password Entropy

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputNoInput to process
passwordNoPassword to process

TDQS

D1.3/5.0
Behavior1/5

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

There are no annotations, so the description carries the full burden of behavioral disclosure. It does not state whether the tool returns a numeric entropy score, what units are used, how it treats the 'input' versus 'password' parameters, or whether it mutates any state. The description adds zero behavioral context.

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 it is under-specified and repetitive rather than concise. The phrase 'Password Entropy' is duplicated, wasting the only content slot. It contains no informative sentence that an agent can act on.

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?

With two parameters, no annotations, no output schema, and a large sibling list, the description is completely inadequate. It does not specify the input contract, output format, examples, or relationship to related entropy and password tools. An agent has no way to determine expected usage or return value.

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?

Even though schema description coverage is 100%, the parameter descriptions are generic placeholders ('Input to process' and 'Password to process') that convey almost no meaning. The tool description adds no guidance on which parameter to use, whether both are required, or how they relate. The agent cannot infer the correct invocation.

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 is 'Password Entropy: Password Entropy' – a pure restatement of the tool name with no verb, no explanation of what the tool does, and no mention of what 'password entropy' means or what it computes. It is indistinguishable from siblings like x402-password-strength, x402-shannon-entropy, or x402-text-entropy.

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?

No guidance is provided on when to use this tool versus alternatives. The sibling list includes closely related tools such as x402-password-strength, x402-password-leak, x402-entropy, and x402-shannon-entropy, but the description offers no conditions, exclusions, or cross-references.

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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