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ISO country LK

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

C2.5/5.0
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 of behavioral disclosure. It adds a useful privacy claim ('No identifiers are retained'), but it does not state whether the tool is read-only, what output it returns, or whether it makes any external calls. For a classification tool with no annotation safety metadata, this is a significant transparency gap.

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 two sentences are concise and the main action is front-loaded, with no filler. However, the brevity reads as under-specification rather than optimal concision for a tool with nine optional parameters and no output schema. More substance is needed to make the description appropriately sized.

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?

This tool has high complexity: nine parameters, no annotations, no output schema, and many sibling tools. The description only offers a vague classification statement and a privacy note, leaving the return contract, parameter-selection rules, and relationship to alternatives unexplained. An agent would not be able to predict what the tool returns or how to call it 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 documents all nine parameters with individual descriptions, so the baseline is 3 despite the description adding no parameter-level detail. The description's privacy sentence is behavioral, not semantic, and it does not explain relationships among the parameters, such as whether they are mutually exclusive or combinable.

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 a general object ('Show how this request is classified'), so it is not a pure tautology. However, 'classified' is vague: it never explains what classification categories are used, what kinds of requests are supported, or what 'compatibility' means. An agent cannot confidently distinguish this from sibling classification/validation tools without reading the schema.

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 siblings like validate-json, fetch-status, or file-path-ok. It also does not clarify whether the nine parameters are alternatives, optional extras, or expected to be combined. This leaves tool selection and invocation largely to guesswork.

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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