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Glama

Punycode host check

status-catalog

Short catalog of common HTTP status codes.

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

C2.5/5.0
Behavior2/5

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

No annotations are present, so the description carries the full burden of behavioral disclosure. The phrase 'short catalog' only weakly implies a read-only reference with no side effects; it does not state whether the tool makes network requests, whether it inspects the provided url or host, or what the response looks like. There is no contradiction with annotations because none exist, but the disclosure is insufficient.

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 sentence with no filler, and it front-loads the core subject. It is economical, though the brevity comes at the cost of substance that other dimensions penalize.

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

Completeness1/5

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

For a tool with 4 parameters, no annotations, and no output schema, this description is severely incomplete. It omits what action is performed, how the parameters are consumed, whether any output is returned, and when to invoke the tool. The mismatch between the catalog description and the input schema leaves an agent effectively unable to call it correctly.

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 has 100% description coverage, so each parameter (url, host, json, zone) is individually documented. The description, however, adds no meaning about how these parameters relate to the catalog of HTTP status codes, and in fact the parameters seem mismatched with the described purpose. Baseline 3 applies because the schema carries the load, but the disconnect is a meaningful gap.

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

Purpose3/5

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

The description identifies the domain (common HTTP status codes) and suggests a catalog/reference function, so an agent knows the topic. However, there is no explicit verb stating what the tool does (list? look up? validate?), and the input schema parameters (url, host, json, zone) appear unrelated to HTTP status codes, creating confusion. It is distinguishable from siblings like validate-json and normalize-url by topic, but only weakly.

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 given on when to use this tool versus alternatives. There is no mention of what the catalog is useful for, and no exclusions such as 'for JSON validation, use validate-json'. An agent has no contextual basis to choose this tool over its siblings.

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

C2.2/5.0
Disambiguation3/5

Most tools have distinct outputs, but there are overlapping clusters: citation and normalize-url both return host information, timezone/utc-time/iana-zones all revolve around time, and domain-shape/punycode-ok both target hostnames. An agent would need to read descriptions carefully to avoid picking the wrong one.

Naming Consistency2/5

Naming style is inconsistent: some names are verbs (normalize-url, validate-json, inspect-robots), some are nouns (citation, compatibility, timezone), and some are quirky compounds (punycode-ok, iana-zones). The consistent lowercase/hyphen formatting is the only pattern.

Tool Count3/5

Eleven tools is not an unreasonable count by itself, but the server is named for punycode host checking while many tools are unrelated URL, time, and JSON utilities. The set feels padded rather than deliberately scoped.

Completeness2/5

The tool surface has no coherent domain to be complete against: a punycode host checker would need at least IDN conversion or comparison, while the URL/time/JSON utilities appear as unrelated extras. Significant coverage gaps would likely force agents to combine or externalize work.