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User-Agent length, value discarded

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?

With no annotations, the description partly carries the behavioral burden and does disclose a privacy-relevant trait: 'No identifiers are retained.' Parameter descriptions reinforce non-retention and no-disk-access behavior, but the description does not state whether the tool is fully read-only, whether it makes network calls, or what it consumes/emits.

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-sentence description is short and front-loaded, but it is more under-specified than genuinely concise. Each sentence pulls its weight, yet the core purpose and behavior remain too thin for a nine-parameter tool.

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?

There is no required output schema, so the description itself must explain what the classification result looks like; it does not. With nine optional parameters, zero annotations, and no return-value explanation, the definition is not sufficient for an agent to use the tool confidently.

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 the baseline is 3 even though the main description adds no parameter detail. The property descriptions are individually meaningful but the tool description itself does not explain how the many optional parameters affect classification.

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 generic resource ('show how this request is classified'), so it is not a pure tautology. However, it does not specify what classification labels/outcomes are returned or how this differs from the many other classification/checking tools among the siblings.

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?

There is no stated guidance about when to call this tool versus sibling tools like validate-json, geo-hint, timezone, or fetch-status. No prerequisites, exclusions, or alternative-selection conditions are provided.

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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