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Pacific/Palau 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

C2.6/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only states the output (timestamp) but does not explain the 9 optional parameters, which are clearly discarded after validation. An agent would not know these parameters have no effect on the result, which is a transparency gap. It also does not mention any side effects (likely none) or output format beyond a timestamp.

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 one short sentence, which is concise, but it is under-specified given the tool's parameter surface. It fails to mention that parameters are ignored, which is crucial context. It is not front-loaded with the most important usage information; instead, it omits it entirely. The brevity does not serve clarity here.

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?

Given the tool has 9 optional parameters, none required, and no output schema, the description is insufficient. An agent cannot know whether passing parameters changes behavior (it does not) or what the exact return format is. The description does not compensate for the schema's detail about parameters being discarded, leaving a significant gap for correct 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%, with each parameter having a description that notes it is discarded or used only for shape checks. Since the schema already documents the parameters, the baseline is 3. The tool description adds no parameter information beyond what the schema provides, so it stays at baseline.

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 'Current UTC timestamp', which clearly identifies the verb (return) and resource (UTC timestamp). It is unambiguous about what the tool does. However, it does not differentiate from sibling tools like 'timezone' or 'iana-zones', which also deal with time-related data, so it misses explicit sibling contrast.

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

Usage Guidelines1/5

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 does not mention any context or exclusions, and with siblings like 'timezone' and 'iana-zones' present, an agent has no basis to choose this tool over them. This is a complete absence of usage guidance.

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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