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Asia/Kuwait clock

utc-time

Current UTC timestamp.

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

C2.5/5.0
Behavior2/5

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

With no annotations, the description carries full responsibility for behavioral disclosure. It does not reveal that the tool ignores all input parameters (as implied by the schema descriptions saying they are 'discarded') or that it performs no side effects. The agent cannot know whether parameters are necessary, optional, or meaningless, which is a significant transparency gap.

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

Conciseness3/5

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

The description is a single short sentence, which is concise, but it is so minimal that it sacrifices necessary detail. It lacks structured information such as usage examples or parameter roles. The front-loading is fine, but the brevity undermines completeness.

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?

Given the tool has 9 parameters and no output schema, this description is severely incomplete. It does not explain how an agent should handle the parameters, whether they are ignored, what the response looks like, or any constraints. An agent cannot confidently invoke this tool correctly; it needs far more context.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Although the schema has 100% description coverage, the tool description adds nothing about parameters. Worse, the nine parameters (ref, url, city, feed, etc.) appear entirely unrelated to 'Current UTC timestamp,' and the description does not clarify why they exist or that they are ignored. The schema descriptions are also cryptic ('discarded after the shape check'), so an agent cannot determine how to use them meaningfully. The description fails to compensate for this confusion.

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 the tool returns the current UTC timestamp, which is clear and specific. It distinguishes from sibling timezone-related tools like 'timezone' and 'iana-zones' by focusing on the current time rather than conversions or zone listings. However, it is a noun phrase rather than a verb+resource, so it lacks a bit of action-oriented clarity.

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. The description only states what it does, not when to choose it over timezone tools or when not to use it. No exclusions or prerequisites are mentioned, leaving the agent to infer usage.

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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