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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

B3.4/5.0
Behavior3/5

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

No annotations are present, so the description is the sole source of behavioral context. It discloses that no WHOIS/ownership lookup is performed, which is a genuine behavioral exclusion. However, it does not mention edge-case handling such as invalid hostnames, trailing dots, or IDN normalization, nor what the returned label structure looks like.

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 sentence with no filler. The verb is front-loaded and the scope qualifier is concise. Any missing information is a content gap, not a structure or conciseness problem.

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?

With no annotations and no output schema, the description must carry full context, but it does not specify which input parameter should be used, what the output format is, or what the unrelated url/json/zone parameters mean for this tool. An agent would likely be uncertain whether to pass host or url, making the definition incomplete for reliable 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 description coverage is 100%, so each parameter is already documented in the schema and the baseline is 3. The description adds no parameter-level detail and does not tell the agent which input field is relevant for the hostname split, but it does not contradict the schema.

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 ('hostname into labels') and adds a scope qualifier ('without WHOIS or ownership data') that distinguishes it from enrichment-style domain tools. It is clear what the core operation is, though it does not explicitly differentiate from closely related siblings like url-host or normalize-url.

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' clause implies a local, syntactic operation and suggests when not to use it, but it does not name alternative tools or specify when to choose this over url-host or normalize-url. It also does not clarify whether the hostname should be supplied via the 'host' or 'url' parameter.

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

Several tools overlap heavily: citation, normalize-url, and url-host all return host information for URLs, differing only in extra fields. timezone and utc-time both provide current time, and iana-zones is closely related. compatibility is vague and could be confused with citation or status-catalog.

Naming Consistency2/5

Names mix conventions inconsistently: some use verb_noun (normalize-url, validate-json, inspect-robots), while others are noun-like (citation, compatibility, timezone) or noun-noun (url-host, status-catalog, iana-zones). The pattern is not predictable, making it harder to anticipate related tools.

Tool Count3/5

Eleven tools is within a reasonable range for a utility server, but the scope is scattered across URL handling, timezones, JSON validation, and HTTP status codes. The count is not extreme, yet the tools feel less like a cohesive set and more like an arbitrary collection.

Completeness2/5

The stated domain is unclear—URL host utilities are mixed with unrelated time and validation helpers, so complete coverage is impossible to assess. For URL tools, there are multiple overlapping operations but no clear lifecycle; for time, there is no conversion or formatting beyond current time. Significant gaps exist for any single coherent purpose.