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polymarket_signals

Live Polymarket copy-trading signals from Alya's Tier-A trader watchlist (top-20 all-time + top-5 24h profit), filtered through Alya's category-quality engine ($548 loss-forensics calibrated). Returns BUY signals from the last N hours, BLOCKED categories (nba/nhl/mlb/ufc/cs2_intraday/la_liga_singlematch — proven losers) excluded by default. Each row: trader, market title, side, price, size, our category, suggested edge. Premium ($0.01/call): bot-grade signals, not for casual lookup.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
hoursNoLookback hours (max 168)
limitNoMax rows (max 100)
includeBlockedNoIf true, include category-blocked signals (with category tag)

TDQS

A4.4/5.0
Behavior4/5

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

No annotations provided, so description carries full burden. It discloses the filtering logic (loss-forensics calibrated, blocked categories), output fields, and premium cost. It does not explicitly state read-only behavior but the context of 'signals' implies information retrieval.

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?

Description is four sentences, front-loaded with key purpose. Each sentence adds value; could be slightly shorter but remains informative without redundancy.

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 3 parameters, no output schema, the description adequately explains output structure (row fields) and additional context like premium and blocked categories. No critical information is missing for a data retrieval tool.

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 good descriptions for each parameter. Description adds extra context by listing specific blocked categories (nba/nhl/mlb/ufc/cs2_intraday/la_liga_singlematch), enhancing understanding beyond schema.

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?

Description clearly states it returns live copy-trading signals from Polymarket, filtered by trader watchlist and category-quality engine. It specifies BUY signals with blocked categories excluded, and distinguishes it from sibling tools like polymarket_top_traders and polymarket_edge.

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?

Description indicates usage for retrieving bot-grade signals, with a premium cost and note against casual lookup. It implies when to use but does not explicitly list alternatives or when not to use, though the specialized nature makes it clear.

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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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.

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