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Kilometers to miles

domain-shape

Split a hostname into labels without WHOIS or ownership data.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNoHTTPS URL to normalize or cite
hostNoPublic hostname
jsonNoJSON text to validate; discarded after the check
zoneNoIANA timezone name

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

C2.8/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden, and it is thin: it says what the tool does not do (WHOIS/ownership) but not behavioral details such as whether it performs DNS lookups, normalizes casing/IDN, handles IP addresses, or what errors occur for invalid hostnames. The negative scope is useful, but the positive behavior is under-specified.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single focused sentence and earns credit for being short and front-loaded with the core action. But it is unexpectedly terse given the presence of four heterogeneous parameters, so it reads more like an under-specification than a deliberate minimalism.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with four unrelated parameters, no annotations, and no output schema, this description is incomplete. It does not explain how parameters map to the splitting behavior, whether inputs are mutually exclusive, or what the return value contains — leaving an agent to guess essential invocation details.

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

Parameters3/5

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

Schema coverage is 100%, so each parameter already has a description. However, the description's 'Split a hostname' does not clarify how the four parameters — url, host, json, zone — relate to that action, leaving ambiguity about which is required or how they interact. It adds no meaning beyond the schema, so the dimension earns the baseline 3.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('Split') and resource ('a hostname into labels'), and adds an exclusion ('without WHOIS or ownership data') that helps distinguish it from domain intelligence tools. It does not explicitly name a sibling, but the scope is clear enough to separate it from typical URL/WHOIS utilities.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives no direct guidance on when to choose this tool over alternatives. It implies a narrow parsing purpose, but there are no stated conditions, examples, or references to sibling tools that would help an agent decide between this and other domain-related tools.

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

C2.4/5.0
Disambiguation4/5

Most tools have distinct purposes, but URL-related tools like citation and normalize-url and time tools like timezone and utc-time occupy adjacent territory. Descriptions are clear enough that an agent can usually select correctly.

Naming Consistency3/5

All names are lowercase hyphenated, which provides a consistent visual style. However, the set mixes noun-style names (citation, timezone), verb-style names (normalize-url, validate-json), and abbreviation-style names (km-to-mi), so there is no uniform verb_noun convention.

Tool Count2/5

A server named 'Kilometers to miles' having 11 tools is excessive, since only km-to-mi relates to the stated purpose. The count could work for a general utility server, but it does not fit the apparent conversion-focused scope.

Completeness2/5

As a unit conversion service, the server is severely incomplete: it only supports kilometers-to-miles and lacks the reverse conversion or other conversions. As a utility collection, the tools are unrelated and form no coherent domain whose completeness can be judged.