Skip to main content
Glama

minia2a-mcp

x402-accessibility-check

Accessibility Check: Check a web page for accessibility issues.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
htmlNoHtml to process
inputNoInput to process

TDQS

C2.9/5.0
Behavior2/5

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

No annotations exist, so the description carries the full burden. It doesn't disclose whether the HTML is fetched or must be inline, what standards are checked (WCAG?), how issues are reported, or any side effects. The only behavioral clue is that it 'checks' a web page, implying analysis, but the input schema mentioning 'html' suggests raw HTML is expected, which is ambiguous with 'web page'.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two short sentences, no fluff. The main purpose is front-loaded and easy to scan. The colon format is a bit odd but doesn't hurt.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 2-param tool with no required params, no output schema, and no annotations, the description should explain what the agent should pass (HTML string vs URL), what 'Input' means, and what kind of report is returned. The vague 'Input to process' and lack of behavioral details leave an agent guessing.

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 coverage is 100% with descriptions for both parameters ('Html to process', 'Input to process'), but they are minimal and somewhat confusing—'Input to process' is vague and could mean a URL or raw input. The description doesn't clarify the relationship between the two optional parameters or which is preferred.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

Description states a clear verb+resource: 'Check a web page for accessibility issues.' It distinguishes the tool's purpose from most siblings (though there are html-validate, contrast-ratio, page-audit siblings that overlap), so it's not fully differentiated.

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 on when to use this tool vs alternatives like html-validate, contrast-ratio, or page-audit. No mention of input format requirements (e.g., must pass HTML not URL) or edge cases.

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