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longbridge

longbridge

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Rank List

rank_list
Read-onlyIdempotent

Retrieve ranked stock lists by leaderboard category keys for US, HK, CN, and SG markets. Specify the tab key, market, and result count to get heat rankings, rising stocks, or hot trades.

Instructions

Get ranked stock list by leaderboard tab key. key: from rank_categories second_tags[].key (e.g. "hot_all-us", "hot_up-hk", "trade_heat-us"). market: inferred from key suffix (-us/-hk) or pass explicitly. size: results (default 20).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keyYesTab key from rank_categories second_tags[].key, e.g. "hot_all-us" (US total heat), "hot_up-hk" (HK rising heat), "trade_heat-us" (US hot trades). The "ib_" prefix is stripped from rank_categories keys and added back automatically.
sizeNoNumber of results to return (default: 20)
marketNoMarket override: "US" | "HK" | "CN" | "SG". Defaults to the market suffix in the key (e.g. "ib_hot_all-hk" → HK), then "US".
need_articleNoWhether to include related news articles (default: false)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
listsNo
updated_atNo
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint, openWorldHint. Description adds specific behavior about key format, market inference, and size default, which is sufficient. No contradictions.

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?

Very concise: a single sentence followed by key-value explanations. No fluff. Every part is essential and front-loaded with the main purpose.

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?

With 4 parameters, output schema exists, and annotations cover safety, the description is largely complete. It covers key, market, and size well, though the need_article parameter is only in the schema. Overall adequate.

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%, so baseline 3. Description adds valuable context by providing examples for key, explaining market inference logic, and noting default size. This goes beyond the schema descriptions.

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?

Description clearly states it gets a ranked stock list by leaderboard tab key. It distinguishes from sibling 'rank_categories' (which provides category keys) and other list tools, and explains the key parameter's source.

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?

Explicitly explains how to obtain the key from rank_categories second_tags[].key and gives examples. Also clarifies market inference and default size. Could be improved by explicitly stating when to use this versus rank_categories.

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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