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Glama

application/json marker

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

A3.6/5.0
Behavior3/5

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

With no annotations, the description must carry the behavioral burden. It does disclose one important boundary (no WHOIS/ownership lookup), but it does not describe output shape, error behavior, or how the extra `url`, `json`, and `zone` inputs are handled, leaving real gaps.

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 entire definition is one front-loaded sentence, with no filler or repetition. It efficiently communicates the core function.

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 no output schema, no annotations, and four optional inputs that are not obviously related to hostname splitting, a single sentence leaves too much unspecified. An agent can guess `host`, but will not know why `url`, `json`, and `zone` are accepted or what the returned shape will be.

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?

Input schema covers all four parameters with descriptions, so the baseline is 3. The description adds no parameter-level guidance, so it neither helps nor hurts beyond the schema.

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

Purpose5/5

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

The description names a concrete operation ('split') and a specific resource ('hostname'), and adds a scope qualifier ('without WHOIS or ownership data') that separates it from ownership-lookup or URL-normalizing siblings. This is enough to know what the tool is for.

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

Usage Guidelines3/5

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

The 'without WHOIS or ownership data' phrase implies the tool is for pure label extraction rather than enrichment, but no sibling alternative is named and no when-to-use/when-not-to-use conditions are given. An agent must infer usage from 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

C2.8/5.0
Disambiguation4/5

Most tools target distinct concerns such as URL normalization, robots parsing, timezone lookup, and JSON validation. A few URL/HTTP utilities overlap in input type, but descriptions clarify differences: citation adds HTTP status, normalize-url drops query/fragment, and domain-shape focuses on hostname labels.

Naming Consistency3/5

Names consistently use lowercase hyphenation, but they mix noun-style names like status-catalog and timezone with verb-style names like inspect-robots and validate-json. There is no strong verb_noun pattern across the set.

Tool Count4/5

11 tools is within a reasonable range for a mixed utility server covering URLs, HTTP, JSON, and time. A few entries like mime-json and compatibility feel marginal, but the overall count is not bloated.

Completeness4/5

The surface covers URL inspection, robots, HTTP status codes, JSON validation, and timezone utilities without obvious dead ends. Some related web utilities are absent, but the privacy-focused descriptions suggest those are intentionally excluded.