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minia2a-mcp

x402-query-string-parse

Query String Parse: Query String Parse

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

D1.8/5.0
Behavior1/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure — and it discloses nothing. It does not explain how the query string is supplied, what the tool returns, whether it has side effects, or why a parse operation accepts an empty input schema. An agent cannot determine even the basic safety and input-source profile of this tool.

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 text is a single phrase duplicated around a colon — 'Query String Parse: Query String Parse' — so the second half merely repeats the first. This is under-specification masquerading as conciseness: the short length reflects an absence of content, not efficient writing, and no sentence earns its place.

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 tool with no annotations, no output schema, and an empty input schema, this description is the only information source — and it is structurally incapable of supporting invocation. An agent cannot determine what input to supply, what output to expect, when to call it, or how it behaves. Every burden falls on the description, and the description fails all of them.

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?

With 0 parameters, schema description coverage is trivially 100% and there are no parameter semantics for the description to document — baseline 4 applies. The tautological description adds no parameter information, which is harmless here. The unanswered question of where the query string originates is a contextual gap, not a parameter-semantics one.

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 'Query String Parse: Query String Parse' — a verbatim restatement of the tool name separated by a colon. It adds no verb, resource, scope, or behavior beyond what the name already implies, making it a tautology. It also provides nothing to distinguish this from nearby siblings such as x402-query-string-build or x402-url-parse.

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, when not to use it, or which alternative to prefer. With close siblings like x402-query-string-build, x402-url-parse, and x402-address-parse, an agent is left to infer selection purely from the tool name. No exclusions or conditions are stated, so the guidance is entirely absent rather than misleading.

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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