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minia2a-mcp

x402-validate-postal-code

Validate Postal Code: Validate postal code.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

C2/5.0
Behavior1/5

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

Annotations are absent, so the description carries the full burden of behavioral disclosure, and it provides none. It does not state the return format (boolean, error, report), what happens when a postal code is validated with an empty input schema, which postal code standards or countries are supported, or whether the operation is side-effect free. The behavioral content is exactly what the name already says, with nothing added.

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?

This is under-specification, not conciseness. The description repeats the same phrase twice ('Validate Postal Code' / 'Validate postal code'), so it contains redundancy, and it delivers zero information beyond the tool name. A single well-formed sentence with real content would have been both shorter and more informative.

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 validation tool with an empty schema, no annotations, and no output schema depends entirely on its description to explain input mechanism, expected output, and scope. This description explains none of them — it never states how a postal code is provided, what the tool returns, or which postal code formats it accepts. Given the enormous sibling list full of similar validation tools, an agent cannot reliably invoke or interpret this tool from this definition.

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?

The input schema is empty (0 parameters) and schema description coverage is trivially 100%, so per the 0-params baseline this dimension is satisfied; there are no parameter semantics to get wrong. However, the description is silent on how the postal code to validate is supplied given the empty schema — a genuine gap, though it primarily belongs to contextual completeness rather than parameter documentation.

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, 'Validate Postal Code: Validate postal code,' is a tautology — it restates the tool name in both the label and the body, adding no information beyond the name. It does identify a verb and resource (validate + postal code), but it provides nothing that distinguishes it from siblings like x402-postal-code, x402-address-validate, or the many other x402-validate-* tools.

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?

The description offers no guidance on when to use this tool versus alternatives. With hundreds of sibling tools including x402-postal-code, x402-address-validate, x402-validator-suite, and a full family of x402-validate-* tools, an agent has no basis to choose this one over equivalent-sounding options.

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.

Resources