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HTTP Status

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 adds one meaningful boundary (no WHOIS/ownership data) but does not explain output format, validation behavior, case/Punycode handling, or what happens with invalid or empty inputs.

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

Conciseness4/5

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

The description is a single, front-loaded sentence with no filler. It is appropriately terse, though it omits behavioral details that would make it more useful.

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?

Given no annotations, no output schema, and four parameters with some unrelated to the stated purpose, the description is too thin. An agent cannot reliably determine what the tool returns or how to handle parameters like json and zone.

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 description coverage is 100%, so the baseline is 3 even without parameter details in the description. The description names 'hostname' as the focus but does not clarify how url, json, or zone relate to the operation, which is a notable gap.

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 states a specific operation ('Split a hostname into labels') and an explicit boundary ('without WHOIS or ownership data'). However, the input schema includes url, json, and zone parameters that do not obviously map to hostname splitting, so the purpose is clear but not fully coherent with the schema.

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?

There is no guidance about when to use this tool versus siblings like normalize-host or iana-zones. The description only says what the tool does not include, leaving the agent to infer appropriate usage context.

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
Disambiguation2/5

Citation, normalize-url, and domain-shape all process URLs or hostnames with partially overlapping outputs, while timezone, utc-time, and iana-zones cluster into a separate time-related group. Compatibility is especially vague and adds confusion.

Naming Consistency3/5

All tool names share a lowercase-hyphen style, but they mix noun phrases like citation and status-catalog with imperative verbs like normalize-url and validate-json. The naming is readable but not consistently patterned.

Tool Count4/5

Ten tools is a reasonable, navigable number for a utility server. However, several tools such as timezone, iana-zones, and validate-json feel tangential to the apparent HTTP Status focus, so the count is slightly over-inclusive.

Completeness2/5

The tool set mixes HTTP/URL, time, and JSON validation concerns without forming a coherent workflow or domain coverage. Significant gaps remain, such as HTTP header inspection, timezone conversion, and broader URL or JSON operations.