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Index Constituents / ETF Asset Allocation

constituent
Read-onlyIdempotent

Retrieve index constituents with symbol, name, market cap, weight, and change rate, or ETF asset allocation grouped by holding, region, asset class, or industry.

Instructions

Get the constituents of an index or the asset allocation of an ETF. For an index (e.g. HSI.HK, .DJI.US) returns constituents[]{symbol, name, last_done, change_rate, market_cap, weight}. For an ETF (e.g. QQQ.US, 2800.HK) returns the asset allocation as info[] grouped by asset_type: 1=Holdings (top constituents with code, symbol, holding_detail), 2=Regional (country/region breakdown), 3=AssetClass (stock/bond/cash etc.), 4=Industry (sector breakdown). Each group has report_date and lists[]{name, position_ratio, name_locales}; Holdings groups additionally include code, symbol and holding_detail{industry_name, index_name, holding_type_name}.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolYesIndex symbol, e.g. "HSI.HK"
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true, openWorldHint=true. The description adds transparency by detailing the return format and behavior differences between index and ETF inputs, without contradicting annotations.

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 well-structured: a clear first sentence summarizing purpose, followed by a detailed breakdown of outputs for index vs ETF. No unnecessary words.

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

Completeness5/5

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

Given a single parameter, no output schema, and strong annotations, the description fully explains the tool's behavior and output structure. It is comprehensive for an agent.

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 100% (one parameter with description). The description adds context by providing example symbols and explaining how the symbol type determines the output structure, which adds value beyond the schema.

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 it gets constituents of an index or asset allocation of an ETF, with specific details on return structure for each case. This is specific and distinguishes from sibling tools like fund_positions or fund_holder.

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 implicitly tells when to use: for index constituents or ETF asset allocation. It does not explicitly state when not to use or mention alternatives, but the context is clear.

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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