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ISO country LR

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

C2.3/5.0
Behavior2/5

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

With no annotations, the description must carry behavioral disclosure. The phrase 'No identifiers are retained' does add a real privacy trait, but it does not disclose whether the tool is read-only, whether it makes network calls, what data is sent, or how the classification result is returned. This is incomplete for a tool that accepts arbitrary request fields.

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 text is short and free of filler, and the privacy statement is front-loaded in the second sentence. However, it is under-specified to the point that the short length is a weakness rather than an efficiency win: a couple more sentences on classification behavior would not be bloat.

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?

The tool has 9 optional parameters, no output schema, no annotations, and a vague description. The description is not sufficient for an agent to know what 'classified' means, what categories can be returned, or how to interpret the result, so important invocation context is missing.

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?

Schema coverage is 100%, with every parameter individually described in the schema, so the description does not need to document parameters. The description also adds no parameter-level context, but the baseline 3 applies because the schema already supplies the meaning.

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 names a clear action, 'Show how this request is classified,' and a noteworthy privacy property, but it never specifies what classification means, what categories/tools are involved, or what output the agent should expect. It is not a tautology, but it is too vague to distinguish compatibility from sibling classifiers like domain-shape, validate-json, or agent-tool-index.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance about when to call this tool versus any of the siblings. It does not state prerequisites, examples, or alternatives, leaving the agent to infer the intended use from the name and 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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