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minia2a-mcp

x402-gravatar-url

Gravatar URL: Gravatar URL

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sizeNoSize to process
emailNoEmail to process
inputNoInput to process
defaultNoDefault to process

TDQS

D1.2/5.0
Behavior1/5

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

With no annotations, the description carries the full burden of behavioral disclosure, yet it discloses nothing. It does not mention network calls, response format, default-image behavior, email hashing, or any side effects, leaving the agent with only the vague notion of a Gravatar URL.

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

Conciseness1/5

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

The description is only a few words but is redundant: 'Gravatar URL' is repeated after a colon. This is not disciplined conciseness; it is a tautology that wastes the only available text space.

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?

Given four ambiguous parameters, no annotations, and no output schema, the description is completely inadequate for correct invocation. An agent has no idea what output to expect, what constraints apply, or which parameters are meaningful for common Gravatar use cases.

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

Parameters2/5

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

Although schema description coverage is 100%, the parameter descriptions are generic boilerplate ('Size to process', 'Email to process', etc.) that add no real meaning. The tool description does not compensate by explaining that 'size' is in pixels, that 'email' is hashed, or what 'default' and 'input' represent, so an agent cannot reliably fill the parameters.

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 'Gravatar URL: Gravatar URL' merely restates the tool name with a colon and no verb. It does not state what the tool does, such as constructing a Gravatar avatar URL from an email, and provides no way to distinguish it from siblings like x402-gravatar or x402-avatar-generate.

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 on when to use this tool or when a sibling such as x402-gravatar would be a better fit. The description contains zero context about use cases, prerequisites, or alternatives.

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

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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.

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