Skip to main content
Glama

minia2a-mcp

x402-placeholder-image

Placeholder Image: Placeholder Image

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
hNoH to process
wNoW to process
bgNoBg to process
fgNoFg to process
widthNoWidth to process
formatNoFormat to process
heightNoHeight to process
backgroundNoBackground to process
foregroundNoForeground to process

TDQS

D1.1/5.0
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 it reveals nothing: no mention of return type (image URL, binary data, SVG?), no mention of network dependency or generation side effects, no rate limits or output constraints. The description is behaviorally 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 this is under-specification rather than disciplined conciseness. The only content is a repetition of the name, so there is no substantive information front-loaded for the agent. A two-word tautology does not earn conciseness credit.

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 9 parameters, no annotations, no output schema, and no enums, the description is catastrophically incomplete. An agent cannot determine how dimensions are expressed, which formats are accepted, what colors are valid, or what the tool returns. Even the mapping between the four abbreviated params (h, w, bg, fg) and the four long-form params (height, width, background, foreground) is left unexplained.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Although schema coverage is nominally 100%, every schema description is template filler that merely restates the parameter name ('H to process', 'W to process', 'Bg to process'). The description adds nothing to compensate. Critically, the duplicated parameter sets (h/height, w/width, bg/background, fg/foreground) are not explained as aliases or alternatives, and no value formats, ranges, or color schemes are specified—an agent cannot build a correct invocation.

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 'Placeholder Image: Placeholder Image' is a pure tautology that merely restates the tool name with a colon separator. It contains no verb, no resource, and no scope, giving an agent zero information about what action the tool performs or what it produces. It also fails to distinguish this from any of the hundreds of sibling tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance whatsoever about when to use this tool versus alternatives such as x402-avatar-generate, x402-qr-generate, or x402-og-image. No context, no exclusions, no conditions are provided. An agent scanning the sibling list has no way to determine the appropriate selection criteria.

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