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dun999

FinSight

analyze_risk

Analyze your crypto portfolio risk using live market data. Enter holdings with weights and optional parameters to get Sharpe, Sortino, Calmar ratios, market beta, risk tier, and per-asset risk scores for rebalancing.

Instructions

Crypto portfolio risk profiling using live CoinGecko market data. For known tickers (BTC, ETH, SOL, AVAX, ARB, etc.) you only need { asset, weight } — volatility, returns, and drawdown are auto-fetched from 365-day real price history. Returns Sharpe ratio, Sortino ratio, Calmar ratio, market beta, risk tier (low/moderate/high/very high), and per-asset risk scores. Payment: $0.01 USDC on Tempo chain (~500ms).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
holdingsYes
profileNoRisk profile — affects rebalance targets and scoring. Default: balanced.
benchmarkReturnNoAnnual benchmark return for Sharpe calculation, e.g. 0.08 = 8%. Default: 0.08.
riskFreeRateNoAnnual risk-free rate for Sortino and VaR excess return, e.g. 0.05 = 5%. Default: 0.05.
rebalanceMethodNoPortfolio construction method for rebalance recommendations. Default: profile.
marketIndicatorsNoOptional macro indicators — improves market regime detection confidence to HIGH when 3+ provided.
Behavior4/5

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

No annotations exist, so the description must itself disclose behavior. It covers key aspects: auto-fetches live data, computes specific ratios, and notes payment ($0.01 USDC, ~500ms). No contradictions, though it could mention potential side effects or auth needs.

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?

The description is concise (6 sentences), well-structured, and front-loaded with the core purpose. Every sentence adds essential information without redundancy.

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

Completeness4/5

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

For a tool with nested objects, 6 parameters, and no output schema, the description covers inputs, required vs optional, auto-fetched fields, return values (ratios and risk scores), and payment. Missing explicit output structure details but adequate overall.

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 83%, high, so baseline 3. The description adds value by clarifying that for known tickers only asset and weight are required, while others are auto-fetched. This goes beyond the schema's distinction of optional vs required.

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's purpose: 'Crypto portfolio risk profiling using live CoinGecko market data.' It specifies the verb (analyze/profiling), resource (portfolio risk), and distinguishes from siblings (e.g., analyze_factors, analyze_regime) by focusing on risk ratios and per-asset scores.

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?

The description provides clear context on when to use: for portfolio risk profiling with known tickers, auto-fetching data. It explains inputs needed (asset, weight) but does not explicitly exclude when not to use or mention sibling tools as alternatives.

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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