x402-capacitive-reactance
Capacitive Reactance: Capacitive Reactance
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Capacitive Reactance: Capacitive Reactance
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description bears the full burden of disclosing behavior, and it discloses nothing. It does not state whether the tool computes a value (e.g., Xc = 1/(2πfC)), performs a lookup, or returns a formula, nor does it mention output format or side effects.
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?
This is not conciseness but under-specification — the description is a word-for-word repetition of the tool name. It contains no structured information, no front-loaded content, and every word is wasted.
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?
The tool has no annotations, no output schema, and an empty input schema, so the description is the only source of guidance. A capacitive-reactance tool needs to explain what it computes, what inputs are required, and what it returns. The description provides none of this, leaving the agent completely unable to invoke or interpret the tool correctly.
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 schema has 0 parameters, so the baseline is 4 since there are no parameters to document. However, the description adds zero meaning — it does not even confirm that the tool genuinely takes no inputs, which is suspicious for a physics calculation that conceptually requires frequency and capacitance. Docked slightly for this silence.
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 'Capacitive Reactance: Capacitive Reactance' is a pure tautology — it merely restates the tool name in both the title and body positions. There is no verb, no resource description, and nothing distinguishing this from siblings like x402-inductive-reactance or x402-capacitance.
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?
The description provides no guidance on when to use this tool, no exclusions, and no mention of alternatives. This is especially damaging given the large sibling list containing closely related tools such as x402-inductive-reactance and x402-capacitance, which an agent would need help choosing between.
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.