Alya Hub

alya_gems_recent

Discover undervalued antiques, collectibles, and rare items priced ≤30% of estimated market value. Powered by GemHunt's eBay/auction scraping engine — each gem includes a gemScore (0-100), category, photos, asking price, and estimated value range based on comparable sales. Use to find arbitrage opportunities or rare finds. Filter by minScore (default 60) for 'strong_gem' status.

Input Schema

TableJSON Schema

Name	Required	Description	Default
`limit`	No	Max gems to return (1-25)
`minScore`	No	Minimum gemScore (0-100; ≥60 = strong gem)

TDQS

A4.5/5.0

Behavior4/5

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

No annotations provided, so description must bear burden. It discloses the scraping engine, output fields (gemScore, category, photos, prices), and filtering. Missing details on idempotency or side effects, but sufficient for a read-only data tool.

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?

Three sentences, each earning its place: first defines purpose, second explains data source and output, third gives usage guidance. No redundancy, well front-loaded.

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?

Given simple parameters, no output schema, and no annotations, the description covers purpose, output, filtering, and defaults completely. No missing information for effective use.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with descriptions for both parameters. The description adds value by explaining the minScore threshold for 'strong_gem' and implying default limit of 10, enhancing schema meaning.

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

Purpose5/5

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

The description clearly states the tool discovers undervalued antiques and collectibles under 30% of market value. It distinguishes from sibling 'alya_gem_appraise' by focusing on recent gems rather than individual appraisal.

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

Usage Guidelines4/5

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

Provides clear usage scenarios: 'find arbitrage opportunities or rare finds' and filter by minScore for strong gems. Does not explicitly mention when to avoid this tool or name alternatives, though sibling context suggests differentiation.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

All Alya Hub tools Inspect

Try in Browser

RayrunBuild, deploy, and operate MCP servers without becoming an infrastructure team.ray.runAd

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

B3.4/5.0

Disambiguation4/5

Most tools have distinct purposes and clear descriptions, but there is some potential confusion among the four Polymarket-related tools (categorize, edge, signals, top_traders) and among the multiple 'alya_' prefixed tools that query different data sources.

Naming Consistency3/5

Naming patterns are mixed: some tools use 'alya_' prefix, others use action-based names like 'batch_calibrate' or 'image_gen', and YouTube tools all start with 'youtube_'. The inconsistency in prefixes and verb styles makes the set less predictable.

Tool Count2/5

32 tools is high for an MCP server, and they span a wide, unrelated set of domains (Polymarket, YouTube, gemology, weather, earthquakes, health, celebrity, etc.), making the surface feel bloated and unfocused.

Completeness2/5

Each domain has incomplete coverage: Polymarket lacks trade execution, YouTube automation depends on external OAuth, health tools only offer diagnosis and drug interactions without follow-up, and other domains have minimal tooling. The server feels like a collection of one-off features rather than a coherent surface.

Resources

Need Help?