Skip to main content
Glama

minia2a-mcp

x402-mask-card

Mask Card: Mask card.

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?

With no annotations present, the description carries the full burden of behavioral disclosure, and it discloses nothing: no mention of what masking does (e.g., preserving the last 4 digits), no output shape, no side effects. The zero-parameter signature is especially suspicious for a masking operation, yet the description does not explain where the card value comes from. The description adds zero behavioral context beyond the tool name.

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?

At five words, the description is short, but this is under-specification, not conciseness — it is a bare label with no instructive content. Extreme brevity without substance does not earn credit for structure, as with the similarly tautological 'Process' example.

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 whose behavior, input mechanism, and output are all unspecified, and with no annotations or output schema to compensate, the description is completely inadequate. An agent cannot tell what 'mask card' does, what it consumes, or what it returns. The description fails every completeness check for this tool.

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, so there are no parameter semantics for the description to document; the 0-parameter baseline of 4 applies. The schema is trivially 100% covered, so nothing is missing at the parameter level. The unresolved question of how the card is supplied is a behavioral/completeness gap rather than a parameter-semantics gap.

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, 'Mask Card: Mask card,' is a verbatim restatement of the tool name and adds no information about what kind of card is masked or what masking entails. It reveals nothing about output format, input source, or scope, making it indistinguishable from siblings like x402-mask, x402-mask-email, x402-mask-phone, and x402-card-validator. This is the tautology case: the description merely echoes the name.

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 use this tool versus alternatives. The sibling list contains closely related tools (x402-mask, x402-mask-email, x402-mask-phone, x402-card-validator), but the description never explains what distinguishes mask-card or in which scenario it applies. An agent has no basis for selecting this tool over its neighbors.

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