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minia2a-mcp

x402-camel-split

Camel Split: Camel Split

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

D1.6/5.0
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 discloses nothing: no edge-case behavior (e.g., acronyms, digits, leading underscores), no return format, no input mechanism, no failure modes. A zero-parameter tool that takes input through some unspecified channel needs at least some explanation of how the input reaches the tool, and the description is silent.

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 tiny but this is under-specification, not conciseness. A single repeated phrase with no verb, no object, and no operational detail does not earn credit for efficiency; it simply fails to say anything.

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 the ambiguous name, thousands of siblings, no output schema, and no annotations, this description is wholly inadequate. An agent cannot determine what input to provide, what result to expect, or how this differs from the many adjacent case-manipulation tools. Nothing needed for correct selection and invocation is available.

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

Parameters4/5

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

Per the rubric, 0 params = baseline 4. The input schema is an empty object with 100% coverage vacuously, so there are no parameter semantics for the description to add. The description's silence on parameters is not a defect here because there are no parameters to document.

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 'Camel Split: Camel Split' is a pure tautology — it merely repeats the tool's name and title. It does not state what the tool does with a specific verb and resource, nor does it clarify whether it splits camelCase strings into words, tokens, or something else. An agent gains zero signal about the tool's actual function beyond the name itself.

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?

No guidance is given about when to use this tool versus alternatives. With a massive sibling list containing closely related case tools like x402-is-camel-case, x402-kebab-case, x402-snake-case, and x402-pascal-case, an agent has no way to know the intended invocation context. There is no when-to-use, no prerequisites, and no exclusions.

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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