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Pacific/Palau 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

C2.4/5.0
Behavior2/5

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

With no annotations provided, the description must carry the full burden of behavioral disclosure. It does state that 'No identifiers are retained,' which is a useful privacy trait, but it omits whether the tool is read-only, makes network calls, modifies anything, or what the response format is. This is minimal disclosure, leaving significant behavioral unknowns.

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 very brief (two sentences), but brevity here is under-specification rather than efficiency. It lacks necessary details about the tool's output and selection logic, so it is not appropriately sized for a tool with 9 parameters and no output schema. The front-loaded purpose is vague, and the privacy note is the only substantive content.

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?

For a tool with 9 parameters, no output schema, and a non-obvious classification function, this description is incomplete. It does not explain what classification means, what the response will contain, or how the request is processed. The single privacy statement is not enough to guide an agent in using 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 input schema has 100% coverage with detailed descriptions for all 9 parameters, so the schema already explains each parameter's meaning and disposal behavior (e.g., 'discarded after the shape check'). The description adds nothing beyond this, so the baseline of 3 applies. It does not contradict the schema and no extra semantics are needed.

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?

The description states a verb ('Show') and a resource ('this request'), but the object 'classified' is ambiguous. It does not specify what kind of classification, what the output looks like, or how it relates to sibling tools like domain-shape or file-path-ok. This is a vague purpose, not a tautology, but it leaves the agent guessing about the tool's role.

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 provides no context about which requests are appropriate or which sibling tools might be better suited. The only statement, 'Show how this request is classified,' implies a use case but does not explain selection criteria or exclusions.

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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