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America/Buenos_Aires 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?

The main description adds a meaningful privacy guarantee: 'No identifiers are retained.' Parameter descriptions reinforce this with notes like 'discarded after the shape check' and 'no disk access.' However, with no annotations, the description still fails to disclose whether network calls occur, how classification works, or what the return value contains.

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?

The description is two short sentences, front-loaded with the core action and then adding the privacy guarantee. There is no wasted wording, but the terseness contributes to under-specification, so it is not fully appropriate.

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 9 optional parameters, no annotations, and no output schema, the description leaves major gaps: it does not explain how parameters combine, what classification result looks like, or which sibling tools are alternatives. An agent cannot confidently predict the tool's behavior or output.

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 9 parameters have detailed schema descriptions, so schema coverage is 100%. Those descriptions add semantics beyond parameter names, such as 'discarded after the check' and 'no disk access.' The main description adds no parameter-level value, so baseline 3 is appropriate.

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 and object: 'Show how this request is classified.' However, it never defines what classification means, what output to expect, or how it differs from the many sibling shape/check tools. This is a vague purpose rather than a clear, differentiating one.

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 about when to use this tool versus a specialized sibling like validate-json, domain-shape, or normalize-url. The privacy note implies a safe classification entry point, but that context is not made explicit.

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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