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Asia/Phnom_Penh clock

domain-shape

Split a hostname into labels without WHOIS or ownership data.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
refNoGit ref name; discarded after the shape check
urlNoHTTPS URL to normalize or cite
cityNoCity name for a public weather hint; discarded after the call
feedNoPublic RSS or Atom URL; titles discarded
hostNoPublic hostname
jsonNoJSON text to validate; discarded after the check
pathNoFile path to check; no disk access
zoneNoIANA timezone name
queryNoSearch text; discarded after the length check

Schema Changelog

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

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

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

No annotations are present, so the description carries the behavioral burden. It usefully discloses that the operation does not include WHOIS or ownership data, and the verb 'Split' implies a pure parsing operation. However, it does not describe behavior for malformed hostnames, ports/paths, case normalization, trailing dots, or the exact return representation.

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 dense sentence with no filler. The core operation and the key exclusion ('without WHOIS or ownership data') are both front-loaded, making it easy for an agent to parse quickly.

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

Completeness3/5

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

The tool appears simple, but there are seven input parameters and no annotations or output schema. The description plus property descriptions are likely sufficient to call it with `host`, yet the abundance of seemingly unrelated fields and the lack of return-format details leave an agent with some ambiguity about what is actually relevant.

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?

The schema already describes every parameter, including 'host' as 'Public hostname', so schema coverage is high and the baseline is 3. The tool description adds no parameter-level meaning; it does not, for example, explain that the `host` field is the only relevant input or how the other discarded fields relate.

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 names a specific verb ('Split'), a specific object ('a hostname'), and an explicit output ('labels'), and it clarifies a meaningful boundary ('without WHOIS or ownership data'). It is not tautological and reads clearly, but it does not explicitly contrast with sibling shape/URL tools, so it stops 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?

There is no guidance on when to use this tool versus alternatives such as normalize-url, web-fetch, or other 'shape' tools. The only implicit hint is that this is for hostname label-splitting and not WHOIS/ownership lookup, but no explicit when-to-use or when-not-to-use conditions are stated.

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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