x402-is-kebab-case
Is Kebab Case: Is Kebab Case
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Is Kebab Case: Is Kebab Case
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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, but it offers none. It does not disclose return type, side effects, error behavior, or what text is evaluated. This is behaviorally opaque and indistinguishable from a stub.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short, but the line is a tautological repetition of the tool name and conveys no information. This is under-specification rather than effective conciseness; the words do not earn their place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema and no annotations, the description is the only source of behavioral context, and it explains nothing about return values, input mechanism, or what 'is kebab case' even operates on. An agent cannot determine how to invoke this tool or what response to expect.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has zero properties and zero required parameters, so the schema fully documents that there are no parameters. The baseline for 0 params is 4, and the description has nothing meaningful to add because there are no parameter semantics to clarify.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description is 'Is Kebab Case: Is Kebab Case' — a direct restatement of the tool name with no additional verb, object, or explanation. It does not state what input is checked, whether it returns a boolean, or how it differs from related siblings like x402-is-camel-case, x402-is-snake-case, or x402-kebab-case. This is a pure tautology.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
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 versus closely related alternatives such as x402-is-camel-case, x402-is-snake-case, x402-case, or x402-kebab-case. The description neither states usage conditions nor names any alternative. An agent has no basis for choosing or excluding this tool.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
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.
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.
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.
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.