TipRanks-generated catalyst summary explaining why a stock is moving.
Each entry: {ticker, summary, sentiment, updated} where sentiment is
'positive' | 'neutral' | 'negative'. Updated throughout the trading
day. Use to explain today's move for a specific stock.
Args:
tickers: Comma-separated tickers (e.g. 'AMZN' or 'AMZN,NVDA').
| Name | Required | Description | Default |
|---|---|---|---|
| tickers | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds context about the data being TipRanks-generated and updated throughout the trading day, which gives freshness information beyond the annotations. It doesn't discuss side effects or auth, but with annotations present, this is sufficient for a 4.
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 compact and front-loaded: it opens with the core purpose, then explains output format, update frequency, and usage context, followed by a short Args section. Every sentence contributes value, with no redundancy or filler.
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?
Despite having no output schema, the description explicitly states the return structure ('Each entry: {ticker, summary, sentiment, updated}') and explains the parameter thoroughly. With only one parameter and annotations covering safety, the description is sufficiently complete for effective tool selection and invocation.
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 provides only the parameter name 'tickers' with a union type (string or array) and no description. The description compensates by showing the comma-separated string format with examples ('AMZN' or 'AMZN,NVDA'), adding syntax and usage semantics. However, it omits the array input option, leaving a small gap in completeness.
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 'TipRanks-generated catalyst summary explaining why a stock is moving' and explicitly says 'Use to explain today's move for a specific stock,' which identifies the specific resource and action. This differentiates it from sibling tools like get_ai_stock_analysis or get_stock_quotes, as it focuses on catalyst summaries.
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 provides clear usage context with 'Use to explain today's move for a specific stock,' but does not mention when to avoid this tool or compare it to alternatives like get_ai_stock_analysis. This meets the 'clear context, no exclusions' level, so a 4 is appropriate.
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.