Skip to main content
Glama

minia2a-mcp

x402-json-keys

JSON Keys: JSON Keys

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
valueNoValue to process

TDQS

D1.6/5.0
Behavior1/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure and fails entirely. It reveals nothing about output format, whether nested keys are included, ordering, duplicate handling, error behavior on invalid JSON, or side effects. A five-word tautology provides zero transparency about what calling this tool actually does.

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 nominally tiny ('JSON Keys: JSON Keys'), but this is under-specification rather than conciseness — the two halves redundantly restate the same information. Every word is wasted, and there is no front-loaded verb or operational sentence. It fails to earn even a single word's worth of value.

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 output schema, no annotations, and a single vaguely-described parameter, the description is the only source of operational information — and it is completely absent. An agent cannot determine expected input format, return shape, or semantics of 'keys'. Even accounting for the tool's simplicity, nothing needed for correct invocation is conveyed.

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?

Schema description coverage is 100% — the single parameter 'value' is documented in the schema (though only generically as 'Value to process'). Per the rubric, high schema coverage warrants a baseline of 3 even though the tool description adds nothing about the parameter. The description does not compensate for the schema's vagueness about expecting a JSON string, but it is not penalized for omitting what structured data already covers.

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 'JSON Keys: JSON Keys' is a pure tautology that restates the tool name without adding a single verb, action, or resource detail. It does not state what operation is performed (extract keys? count them? list top-level keys?), leaving the agent unable to distinguish it from siblings like x402-json-values or x402-json-path.

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 provides no guidance whatsoever on when to invoke this tool versus alternatives. With dozens of JSON-related siblings (x402-json-flatten, x402-json-validate, x402-json-values, x402-json-type), an agent has no basis for selecting this tool. It does not mislead, so it stops short of a 1, but it is completely devoid of usage context.

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