Skip to main content
Glama

minia2a-mcp

x402-json-minify

JSON Minify: JSON Minify

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

C2.2/5.0
Behavior2/5

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

No annotations are provided, so the description must carry the full burden. It fails to disclose whether the tool accepts a JSON string via input, whether it validates JSON before minifying, what errors might occur, what the output format is, or any side effects. The description does not contradict annotations because there are none, but it is nearly empty.

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 tautological: 'JSON Minify: JSON Minify' contains no additional information beyond the tool name. This is under-specification rather than purposeful conciseness.

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?

The tool has no input schema properties, no output schema, no annotations, and a redundant description. An agent cannot determine how to invoke it, what input to provide, or what result to expect. Given the massive sibling list of JSON-related tools, this is materially incomplete.

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?

There are zero parameters in the input schema, and schema description coverage is 100% (an empty object). With no params, the schema cannot explain how the tool receives JSON content. Baseline for 0 params is 4; the description could have clarified how the JSON input is passed, but since the schema itself defines no parameters, this is mostly a schema limitation rather than a description failure.

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 is 'JSON Minify: JSON Minify' — it essentially repeats the tool name and title without providing a meaningful definition. It offers no verb indicating what the tool does, no input/output details, and no differentiation from the many sibling JSON tools (e.g., json-format, json-pretty, json-validate).

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 guidance on when to use this tool versus alternatives such as json-format or json-pretty. Since the description mentions 'Minify' in the name, one could guess contrast, but nothing explicitly states when to choose minification over formatting or validation.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

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