Returns real-time quotes for all commodities in a single request.
Each row carries the commodity's display name and a changePercentage derived from price and change, alongside the raw price, change and volume. Use the name given in the response — several symbols are non-mnemonic (HEUSX is Lean Hogs, SBUSX is Sugar, ZSUSX is Soybeans).
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Beyond the annotations (readOnlyHint, idempotentHint, destructiveHint), the description adds significant behavioral context: it discloses that several symbols are non-mnemonic and instructs using the display name in the response. It also details the response fields (display name, changePercentage derived from price and change, raw price, change, volume). This is valuable operational guidance not present in 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 well-structured: the first sentence states the core purpose, and the second paragraph provides a crucial caveat about symbols. Every sentence earns its place without 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?
Given zero parameters and no output schema, the description compensates by explaining exactly what the response contains (display name, changePercentage, raw price, change, volume) and the non-mnemonic symbol issue. This is complete for a simple list-all tool and leaves no critical ambiguity about the return data.
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 tool has zero parameters, so the baseline is 4 as per guidelines. The description does not need to add parameter semantics since the schema is empty; the focus shifts to output semantics, which it covers.
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 the tool returns real-time quotes for all commodities in a single request, using a specific verb ('Returns') and resource. It distinguishes itself from siblings like get_commodity_quote (which likely returns a single quote) and get_commodity_historical by emphasizing the 'all commodities' scope.
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 usage through 'in a single request', suggesting this is for bulk retrieval rather than individual calls, but it does not explicitly state when to use this tool versus alternatives like get_commodity_quote or get_commodity_historical. It lacks explicit exclusions or recommended alternative scenarios.
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.
