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minia2a-mcp

x402-http-analyze

x402-http-analyze: HTTP header analysis. 🆓 5 free trial calls per registered wallet

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
targetNoTarget to process

TDQS

C2.8/5.0
Behavior2/5

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, but it only mentions a free trial quota for registered wallets. There is no information about whether this tool makes network requests, what data it returns beyond analysis, whether it can handle malformed headers, or any rate limiting beyond the trial mention. The single behavioral detail provided (trial calls) is useful but insufficient.

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

Conciseness3/5

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

The description is very short and the core function is front-loaded, but it inserts a promotional emoji and trial-call notice into the functional description. While the trial information is contextually relevant, mixing marketing with functional description adds noise and reduces clarity for an agent that needs to select the right tool.

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 network-analysis tool with no annotations, no output schema, and a single ambiguous 'target' parameter, the description leaves out too much. It doesn't explain what form the target takes, what kind of analysis is performed, or what the response will contain. The sibling list includes many HTTP-related tools, and this description does not sufficiently separate this tool from them.

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?

The input schema has 100% description coverage for the single 'target' parameter, so the schema already communicates that a target string is needed. However, the description does not clarify what 'target' means in this HTTP-context—whether it should be a URL, a header string, or a raw HTTP request. The description adds no value beyond the schema's generic 'Target to process' text.

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 is brief but informative, explicitly stating its function as an HTTP header analysis tool. While it doesn't provide deep differentiation from other similar HTTP-related tools like x402-http-codes and x402-http-methods, the 'analyze' verb combined with 'header' resource is clear enough to infer its purpose.

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?

The description provides no explicit guidance on when to use this tool versus alternatives like x402-http-headers or x402-http-codes. It only states that it performs HTTP header analysis, leaving the agent to infer appropriate usage without understanding key distinctions such as whether it handles security analysis or basic header information.

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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