Skip to main content
Glama

Language de

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

C2.9/5.0
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It states a single limitation (no WHOIS/ownership) but does not explain what the tool returns, error behavior, side effects, or why parameters like json and zone are present. This is insufficient for a tool with no annotation support.

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

Conciseness5/5

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

The description is a single, front-loaded sentence with no wasted words. It conveys the core purpose and a key limitation efficiently, earning a top score for conciseness.

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?

The tool has four optional parameters, no output schema, and no annotations, yet the description covers only the hostname-splitting aspect. It fails to explain the role of json and zone, what the output format is, or how the tool handles edge cases, making it incomplete for reliable agent invocation.

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% for all four parameters, so the baseline is 3. The description does not add meaning beyond the schema; it never explains how url, host, json, or zone relate to splitting a hostname. The description adds no extra value beyond the schema definitions.

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 clearly states the action (split), resource (hostname), and outcome (labels), and explicitly notes the absence of WHOIS/ownership data. It is specific but does not explicitly name sibling tools or differentiate them, so it falls short of a 5.

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?

No guidance is provided on when to use this tool versus alternatives such as normalize-url or validate-json. The description does not mention any conditions, exclusions, or alternative tools, leaving the agent to infer usage.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

C2.5/5.0
Disambiguation4/5

Most tools have distinct purposes, but citation and normalize-url both inspect URLs with overlapping fields, and timezone/utc-time/iana-zones are related. Descriptions clarify the differences, so ambiguity is minimal.

Naming Consistency5/5

All tool names use lowercase with hyphens, following a consistent pattern (e.g., normalize-url, validate-json, utc-time). No mixed conventions or irregular verbs.

Tool Count5/5

With 11 tools, the count is well within the typical 3-15 range. Each tool appears to serve a distinct utility, and the number is reasonable for a general-purpose toolkit.

Completeness2/5

The tools form a disjointed collection of unrelated utilities (URLs, time, HTTP, JSON, robots, language tag) with no coherent domain. There is no obvious lifecycle or CRUD pattern, and the set lacks depth in any single area, making it incomplete for any defined purpose.