Returns the real-time price quote for a specific cryptocurrency.
Common symbols: BTCUSD (Bitcoin), ETHUSD (Ethereum), SOLUSD (Solana),
BNBUSD (BNB), XRPUSD (XRP), ADAUSD (Cardano), DOGEUSD (Dogecoin).
Args:
symbol: Cryptocurrency symbol (e.g. 'BTCUSD' for Bitcoin)
| Name | Required | Description | Default |
|---|---|---|---|
| symbol | Yes | Crypto symbol, e.g. 'BTCUSD' (Bitcoin), 'ETHUSD' (Ethereum). |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate read-only, idempotent, non-destructive behavior. The description adds value by clarifying the real-time nature and listing common symbol mappings, which is context beyond the annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise and front-loaded with the core purpose. The list of symbols is helpful, though the 'Args:' section redundantly restates schema information. No fluff or unnecessary details.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple one-parameter tool with strong annotations, the description is complete. It covers what the tool does, what inputs are needed, and gives practical examples. No output schema is present, but the description sufficiently conveys the return type.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema already describes the symbol parameter, but the description expands on it with a list of common symbols and their full names, providing additional semantic value beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states it returns the real-time price quote for a specific cryptocurrency, using a specific verb and resource. It distinguishes itself from siblings like get_all_crypto_quotes by emphasizing 'specific'.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies when to use this tool (need a single, real-time quote) but does not explicitly mention alternatives like get_all_crypto_quotes for multiple quotes or get_crypto_historical for historical data. No exclusions are provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Many tools have overlapping purposes, e.g. get_etf_analysis vs get_etf_forecast both provide ETF analyst consensus, get_etf_holdings vs get_etf_top_stocks both list constituents, and get_portfolio_overview vs get_portfolio_performance both return returns/performance. The detailed descriptions help, but the sheer number of similar tools creates ambiguity in selection.
The set is largely consistent with a 'get_' prefix and descriptive nouns (get_stock_quotes, get_crypto_quote, get_dividend_history). Minor deviations include 'list_my_portfolios' instead of 'get_my_portfolios' and singular/plural variants like get_all_commodities_quotes vs get_commodity_quote, but the pattern remains predictable.
With 71 tools, the count far exceeds the 50+ threshold described as an extreme mismatch. Even though the server covers a broad financial domain, such a large surface is overwhelming for an agent and includes many redundant or highly specific tools that could be consolidated.
The tool set provides comprehensive coverage of TipRanks data: quotes and historical data for all major asset classes, news, earnings and economic calendars, analyst and sentiment data, financial statements, technical analysis, options, portfolios, and screeners. There are no obvious dead ends for typical financial research tasks.