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ISO country GP

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

C2.6/5.0
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 for behavioral disclosure. It does add one useful privacy trait: 'No identifiers are retained.' However, it does not disclose whether the tool performs network requests, what side effects might occur, what the classification output looks like, or whether any input is stored even temporarily. The per-parameter 'discarded' notes in the schema already cover much of the retention behavior.

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 only two sentences with no filler or repetition; the purpose is stated first and the privacy guarantee second. It is appropriately short from a structural standpoint, though it is under-specified in 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 nine optional parameters, no output schema, no annotations, and a large sibling set, the description is far too sparse. It does not explain what result the agent should expect, which parameters must be supplied, how classification works, or when this tool should be selected over a more specific sibling. The one privacy statement is useful but not enough to make the tool usable.

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 description coverage is 100%, so all nine parameters are individually explained in the schema. The tool description adds no parameter-level meaning, does not explain how parameters relate to the classification, and does not indicate which parameters are preferred or mutually exclusive. Baseline 3 is appropriate because the schema already documents each 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 uses a specific verb ('Show') and names the resource ('how this request is classified'), so it is not a tautology. However, it does not explain what 'classified' means, what categories are returned, or how 'compatibility' relates to the classification. It also fails to distinguish this tool from the many sibling shape-check and validation 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?

The description gives no guidance on when to use this tool versus alternatives like validate-json, normalize-url, geo-hint, or file-path-ok. It does not state whether one parameter is expected, whether multiple can be combined, or what prompts or situations should route to compatibility. The context is entirely implicit.

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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