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minia2a-mcp

x402-is-json

Is JSON: Validate whether a string is valid JSON. Provide value or input; returns true if it parses, false otherwise.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

B3.2/5.0
Behavior3/5

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

The description discloses the essential return behavior: 'returns true if it parses, false otherwise.' Without annotations, this is helpful but limited; it does not mention error handling, whitespace handling, or whether the function validates strict JSON or a relaxed subset. It also implies an input that the schema does not define, creating mild ambiguity.

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

Conciseness4/5

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

Single sentence with a clear leading label 'Is JSON:' and no filler. The phrase 'value or input' is mildly redundant but not bloated. It is efficient for a simple tool.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple boolean validator, the return contract is stated, but the invocation contract is incomplete: the schema has no properties and the description offers only 'value or input' without clarifying how to pass it. It also does not address JSON parsing nuances such as comments or trailing commas, which a caller might need to know.

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?

The schema has zero properties, so the baseline would be 4 for 0 parameters. However, the description says 'Provide value or input' while the schema declares no parameter, leaving the agent uncertain how to send the value. No parameter names, types, or formats are supplied, and the description does not compensate for the missing schema definition.

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

Purpose4/5

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

Description states a specific verb+resource: 'Validate whether a string is valid JSON.' It clearly conveys the tool's core function. However, it does not distinguish itself from the closely named sibling x402-json-validate, which plausibly does the exact same thing.

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 choose this tool over alternatives like x402-json-validate or other validation utilities. The only call-facing instruction is 'Provide value or input,' which is about invocation mechanics, not usage context or exclusions.

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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