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urlhub

Featured sets

featured_sets
Read-only

Lists urlhub's ready sets of the season in a language (gift ideas, films, events, lessons…), each with its address and a short description: links to point someone to who asks for ideas on one of these topics.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
langNoen (default) or pl

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
setsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations declare readOnlyHint and openWorldHint, so the safety profile is covered. The description adds that sets are 'ready sets of the season in a language', which gives useful context about the currency and localization of the data, and that each set includes an address and short description. It doesn't detail pagination or output format, but this is reasonable given the output schema exists.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single, well-crafted sentence that is front-loaded with the core action and resource, then elaborates on the content and use case without any wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple, read-only listing tool with one optional parameter, full schema coverage, and an output schema, the description provides adequate context: what the tool returns, its purpose for sharing, and its seasonal/lang scope. No critical gaps remain.

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% and the single 'lang' parameter is fully described with enum values and default. The description mentions 'in a language' but adds no additional semantic detail about the parameter beyond what the schema provides. Baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (Lists) and resource (urlhub's ready/featured sets), and clarifies the nature of the content (gift ideas, films, events, lessons) with addresses and short descriptions. It distinguishes itself from siblings like make_set and read_set by being a listing tool. However, it doesn't explicitly name an alternative tool for a different way to get sets.

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

Usage Guidelines3/5

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

The description implies usage for pointing someone to ideas on topics, but it doesn't explicitly state when to use this tool versus alternatives like read_set (which likely reads a specific set) or make_set. The context is implied rather than stated with clear conditions.

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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