x402-cidr
CIDR: Compute network, broadcast, netmask and usable-host count from a CIDR block (e.g. 192.168.1.0/24) with validation.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| cidr | No | Cidr to process |
CIDR: Compute network, broadcast, netmask and usable-host count from a CIDR block (e.g. 192.168.1.0/24) with validation.
| Name | Required | Description | Default |
|---|---|---|---|
| cidr | No | Cidr to process |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the behavioral disclosure burden. It discloses that the tool validates input and computes four specific values, but it does not describe the return format, error handling, or whether IPv6 CIDR blocks are supported.
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?
One compact sentence contains the operation, resource, output list, validation behavior, and an illustrative example. There is no redundant or excessive wording.
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?
For a single-parameter pure calculation tool, the description is mostly complete: it names the input format and the computed results. Minor gaps remain around the exact return structure and validation failure behavior, but the agent has enough information to invoke 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 100% coverage with 'Cidr to process', and the description adds a concrete example ('192.168.1.0/24'), which clarifies the expected string format beyond the minimal schema text. This is useful for an agent constructing the input.
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 states a specific verb ('Compute'), a resource ('CIDR block'), and enumerates the computed outputs: network, broadcast, netmask, and usable-host count. It also clarifies validation behavior and provides an example. This clearly distinguishes it from sibling tools like x402-cidr-to-range, which focuses specifically on range conversion.
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 implies usage: call this when you need these CIDR-derived values from a block. However, it does not explicitly state when to prefer this tool over alternatives like x402-cidr-to-range or other IP utilities, leaving the agent to infer selection from context.
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.