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minia2a-mcp

x402-og-image

Og Image: Generate an Open Graph image URL from a title. Provide title and optional width/height; returns an OG image link.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleNoTitle to process
widthNoWidth to process
heightNoHeight to process

TDQS

B3.1/5.0
Behavior2/5

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

No annotations exist, so the description carries the full behavioral burden. It states the input/output contract but stays silent on whether generation involves a network call, whether the returned URL is persistent or temporary, rate limits, and failure behavior on invalid width/height values. For a tool that generates a remote resource, this is a meaningful gap.

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 sentences with the core action front-loaded and no filler. The 'Og Image:' label slightly duplicates the tool name, and 'returns an OG image link' mildly restates the earlier 'Generate an Open Graph image URL,' but overall the structure is tight and scannable.

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?

With no annotations and no output schema, the description is the sole source of operational context, yet it stops at the minimal input→output contract. Missing details an agent needs for correct invocation include width/height units, default behavior when optional params are omitted, URL persistence/expiry, and whether title is truly required despite the schema declaring zero required parameters.

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%, establishing the baseline of 3. The description adds one genuinely useful semantic: width and height are 'optional' and title is the primary input, which partially reconciles the schema's zero required parameters. But it does not add units (pixels?), defaults when omitted, or value constraints, leaving the generic 'Width to process' schema text as the only guidance.

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?

The description uses a specific verb and resource: 'Generate an Open Graph image URL from a title,' and it discloses the output form ('returns an OG image link'). The OG-from-title focus implicitly separates it from image-adjacent siblings like x402-placeholder-image, x402-avatar-generate, and x402-gradient-generate, though it never names them.

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

Usage Guidelines3/5

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

'Provide title and optional width/height' gives direct invocation guidance, and the return-value statement sets output expectations, so usage is implied but functional. However, there is no when-to-use/when-not-to-use guidance or reference to alternatives, which matters in a catalog of thousands of x402-* tools.

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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