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Pacific/Port_Moresby 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

C2.8/5.0
Behavior3/5

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

No annotations are present, so the description carries the full burden. It does disclose one meaningful behavioral trait: 'No identifiers are retained,' which signals privacy-safe handling and is reinforced by the schema's 'discarded' notes. However, it does not disclose whether the operation is read-only, whether it makes network calls, what it returns, or how the classification works.

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?

Two short sentences with no filler, and the primary idea is front-loaded. The privacy note earns its place. It is concise to the point of being underspecified, but the writing itself is efficient.

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?

With eight heterogeneous parameters and no output schema, the description is insufficient. It never defines the classification taxonomy, expected input selection pattern, or return shape. The privacy statement is helpful but does not give an agent enough context to call 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 tool-level description contains no parameter-level explanation, such as which field to provide or whether parameters are mutually exclusive. The input schema already documents all eight parameters well, so the high schema coverage justifies a baseline 3.

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?

Description says 'Show how this request is classified' — a verb and object are present, but 'this request' and 'classified' are undefined. It does not distinguish compatibility from sibling shape-checking tools like domain-shape, validate-json, or normalize-url. The purpose is understandable at a high level but vague.

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?

The description gives no guidance on when to use this tool versus any sibling alternative. There are no explicit conditions, exclusions, or context such as 'use this when you need to classify an arbitrary request shape.' An agent must infer applicability from the parameter names.

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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