subnet_calculatorIPv4 subnet details: network, broadcast, mask, wildcard, host range and count for an IP and prefix. Runs on smart-tools.xyz.
| Name | Required | Description | Default |
|---|---|---|---|
| ip | Yes | IPv4 address, optionally with /prefix (e.g. 10.0.0.1 or 10.0.0.1/8) | |
| locale | No | Language for the source_url link (default en) | |
| prefix | No | CIDR prefix 0–32 (ignored if given in ip) |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the burden. It discloses the IPv4 scope and the output fields, but lacks details on error handling, default prefix behavior, or return format. This is a modest but acceptable level of disclosure for a simple calculator.
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 first sentence is concise and informative. The second sentence ('Runs on smart-tools.xyz') adds no value and should be removed, making it slightly less efficient than it could be.
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 description lists the output fields, which is useful given no output schema. The schema covers parameters. It could mention edge cases or the return format, but the tool is simple enough that the description is fairly complete.
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?
Input schema coverage is 100%, with clear descriptions for all three parameters. The description's reference to 'IP and prefix' mirrors the schema but adds no new semantic information.
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 clearly states that the tool calculates IPv4 subnet details and enumerates specific outputs (network, broadcast, mask, wildcard, host range, count). This uniquely distinguishes it from sibling calculators.
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 a clear use case: calculating IPv4 subnet information for a given IP and prefix. It doesn't explicitly mention exclusions (e.g., IPv6) or alternatives, but the context is clear enough.
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.
Most tools are clearly distinct, but there are notable overlaps. 'hash_generator' and 'file_hash' effectively do the same thing (SHA hashing of text), and several CSV/TSV converters (csv_to_json, csv_to_sql, table_to_csv, markdown_table) have similar input handling, though outputs differ. The sheer number of converters is clear, but these near-duplicates create some ambiguity.
Names follow a generally consistent pattern: lowercase with underscores, often ending in 'converter', 'calculator', or 'generator'. A few names like 'base64', 'lorem_ipsum', and 'transliteration' deviate from the suffix pattern, but the naming style is uniform and predictable overall.
With 73 tools, this server is far over the typical well-scoped range. While the broad utility-toolkit purpose might justify a larger set, 73 is unwieldy and pushes well into 'too many' territory, making it harder for an agent to select the right tool efficiently.
The server covers a remarkably wide range of common utilities: unit conversions, calculators, text transformations, development helpers (JSON, regex, JWT, subnet), and generators. Minor gaps exist (e.g., currency converter, time zone converter), but for a general-purpose toolkit, it is largely comprehensive.