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Pacific/Majuro clock

compatibility

Show how this request is classified. No identifiers are retained.

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

C2.2/5.0
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. The only behavioral disclosure is 'No identifiers are retained,' which is a privacy note but does not explain how the tool processes inputs, what it returns, or any side effects. The schema hints at 'discarded after the check' for some params, but the description itself is silent. This is a minimal disclosure that fails to convey the tool's behavior.

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 concise at two sentences, and both are relevant (purpose and privacy). However, it is under-specified and lacks structure; it does not front-load the key behavioral aspects. It is not overly long, but the brevity is due to missing content rather than efficient phrasing, so a 3 is appropriate.

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?

With 9 parameters spanning diverse domains (URLs, timezones, JSON, file paths, search queries) and no output schema, the description must explain what the tool does and how to use it. The two sentences provide almost no context—no explanation of the classification logic, expected inputs, return format, or relationship to siblings. This is completely inadequate for an agent to invoke the tool 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 provides a description for all 9 parameters, so the baseline is 3. The tool description itself adds no information about how these parameters are used together or what they mean for classification. It does not compensate or enhance the schema, but since schema coverage is 100%, it meets the baseline without additional contribution.

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 says 'Show how this request is classified' which is a purpose but is extremely vague. It does not specify what classification means, what the output is, or how it relates to the diverse parameters. The tool name 'compatibility' adds no clarity. It is not a tautology but is far from a specific verb+resource description, so it earns a 2.

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 any of the 26 siblings. No context, no exclusions, no alternatives are mentioned. The description gives no indication of its appropriate use case, so this is a clear gap.

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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