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Australia/Brisbane clock

iana-zones

Common IANA timezone names for clock calls.

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

D1.7/5.0
Behavior1/5

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

There are no annotations, so the description carries the full burden of disclosing behavior. It does not state what the tool returns, whether it is read-only, or any side effects. The only behavioral hints appear in the schema parameter descriptions (e.g., 'discarded after the shape check'), but these are not part of the tool description and are not sufficient to understand the tool's overall behavior.

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

Conciseness2/5

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

The description is extremely short, but it is under-specified rather than economical. It is a fragment that omits a verb and substantive operational detail. It does not earn its place because it fails to convey enough information to be useful.

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?

The tool has seven parameters that appear unrelated to timezone names, no output schema, and only a one-line pointer to 'clock calls.' An agent cannot determine what inputs to provide, what operation will be performed, or what response to expect. This is severely incomplete for a tool of this apparent complexity.

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?

All seven parameters have individual descriptions in the schema, so schema_description_coverage is high (>80%), warranting a baseline of 3. The description itself adds no parameter-level meaning and does not bridge the gap between the stated timezone purpose and the heterogeneous parameters. However, per the rubric, the baseline holds because the schema already documents the parameters.

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

Purpose2/5

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

The description, 'Common IANA timezone names for clock calls,' is a noun phrase that lacks an explicit verb or actionable statement. It doesn't clarify whether the tool lists, validates, or returns timezone names, and it fails to distinguish itself from sibling tools like 'timezone' and 'utc-time' that also relate to clocks. The input schema params (ref, url, city, feed, host, json, path) seem entirely disconnected from timezone names, further clouding the purpose.

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?

The description gives no guidance on when to use this tool versus alternatives. It only says 'for clock calls,' which is too vague to route an agent. No alternative tools, exclusions, or conditions are mentioned, leaving the agent without any decision support.

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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