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minia2a-mcp

x402-csp-parse

Csp Parse: Csp Parse

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cspNoCsp to process
inputNoInput to process
headerNoHeader to process

TDQS

D1.3/5.0
Behavior1/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It is silent on return format, whether parsing validates or extracts, error behavior, side effects, or required access — the bare word 'Parse' communicates almost nothing about the operation's behavior.

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 only four words long, but this is under-specification rather than genuine conciseness — it repeats the tool name and contains no substantive information to structure or front-load. Every useful sentence is missing.

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?

With three optional parameters, no output schema, no annotations, and a massive sibling list, the agent cannot determine what CSP input looks like, what the return value will be, or which parameters to supply. The definition is completely inadequate for correct invocation.

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?

Schema coverage is 100%, which normally sets a baseline of 3, but the schema descriptions are placeholders ('Csp to process', 'Input to process', 'Header to process') that only echo the parameter names. It is unclear which parameter is primary, what formats are accepted, or how csp, input, and header interrelate, and the tool description adds no further meaning.

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 'Csp Parse: Csp Parse' is a pure tautology that merely restates the tool name. It never defines what CSP stands for (likely Content Security Policy), what is parsed, or what the output is, leaving the agent to guess. Among dozens of parse siblings (csv-parse, url-parse, cron-parse), nothing differentiates this tool.

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 any alternative. No use cases, prerequisites, or exclusions are mentioned, and the agent receives zero context about choosing it over the hundreds of sibling 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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