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Asia/Yekaterinburg 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

C2.7/5.0
Behavior3/5

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

The description discloses one behavioral trait: 'No identifiers are retained,' which complements the schema's repeated discarded-after notes. However, it does not disclose whether the tool is read-only, what side effects (if any) occur, or what the classified output looks like. With no annotations, the description carries the full burden and only partially covers it.

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?

Both sentences are purposeful and front-loaded, making it concise, but the extreme brevity veers toward under-specification. The privacy guarantee earns its place, yet the core classification behavior is so thinly described that conciseness is achieved at the expense of substance.

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 no output schema and no annotations, the description must explain what the classification returns and why an agent would call this tool. It does neither. Given the heterogeneous set of parameters (ref, url, city, feed, host, json, path), the agent is left to guess which input to supply and what result to expect.

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 description adds no per-parameter meaning; however, the schema already documents all seven properties with descriptions (e.g., 'discarded after the shape check'), so schema coverage is high and the baseline 3 applies. The description's blanket privacy note is already implicit in each schema parameter.

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 ('how this request is classified'), but 'classification' is ambiguous and the tool's relationship to siblings like normalize-url, citation, and validate-json is unclear. It names neither the input categories nor the output format, so it fails to distinguish itself from similar tools.

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?

No guidance is given on when to use this tool over alternatives. There is no mention of what request types qualify, what scenarios call for classification, or any excluded conditions. The instruction is left entirely to inference.

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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