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analyst_top_tokens

Top predicted tokens per analyst — win-rate aggregates over last 90 days (MCP-compatible) — Returns the top 5 tokens (by win rate) attributed to a single analyst over the last 90 days. Only tokens with ≥ 3 resolved (win/loss) signals are included — this ensures the win-rate figures are statistically meaningful and not based on a single lucky trade. Use ?analystId= with one of: chain_hawk (ChainHawk, BTC & macro on-chain), whale_watch (WhaleWatch, multi-chain whale moves), alpha_scout (AlphaScout, emerging tokens), defi_pulse (DeFiPulse, DeFi/stables/bridges), quant_edge (QuantEdge, signal risk/convergence), rate_hawk (RateHawk, funding rates & derivatives), flow_tracer (FlowTracer, stablecoin & capital flows), unlock_guard (UnlockGuard, token unlock risk), sentiment_edge (SentimentEdge, social sentiment extremes), narrative_pulse (NarrativePulse, sector rotation & narratives). Each token entry returns: token (symbol string), total (all signals in window including pending), resolved (signals with a win/loss ou

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
analystIdNoAnalyst slug. Valid values: chain_hawk, whale_watch, alpha_scout, defi_pulse, quant_edge, rate_hawk, flow_tracer, unlock_guard, sentiment_edge, narrative_pulse.

TDQS

B3/5.0
Behavior3/5

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

Describes the 90-day window and minimum 3 resolved signals threshold. Lacks explicit read-only declaration (though implied), rate limit, or data freshness. Annotations absent, so description carries burden; adequate but not rich.

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

Conciseness2/5

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

Starts with summary but then includes a truncated sentence ('signals with a win/loss ou'), indicating incompleteness. Redundant analyst list included twice (in text and schema).

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?

Truncation leaves output fields (token, total, resolved) incomplete. No output schema provided, so description should fully specify return format; it does not. Minimal for a simple query 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 covers analystId with enum and description. Description adds human-readable names and specialties (e.g., 'ChainHawk, BTC & macro on-chain'), enhancing usability.

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?

Clearly states the tool returns top 5 tokens by win rate for a single analyst over 90 days. Differentiates from siblings like 'analysts_top' which likely returns top analysts, but does not explicitly contrast with analyst-specific 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?

Provides valid analyst IDs but no guidance on when to use this tool versus alternatives like analysts_signals or analyst_monthly_performance. No when-not or context for selection.

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

A3.8/5.0
Disambiguation4/5

Most tools have distinct purposes, but there are a few pairs with overlapping boundaries (e.g., analysts_signals vs analysts_signals_all, whale_movements vs whale_movements_summary) that could cause minor confusion.

Naming Consistency4/5

Naming is predominantly snake_case and descriptive, with minor inconsistencies in plural/singular forms (e.g., 'analysts' vs 'analyst_archive'). Overall pattern is stable.

Tool Count2/5

With 55 tools, the server is quite heavy. While the scope is broad, many tools are history/monthly variants that could be combined, making the count feel inflated beyond what is ideal for a single server.

Completeness4/5

The tool set covers a wide range of crypto analytics domains (analysts, arbitrage, funding, whales, sentiment, etc.). Minor gaps exist (e.g., no direct token price endpoint), but overall it's a comprehensive surface.

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