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longbridge

longbridge

Official

Short Trades

short_trades
Read-onlyIdempotent

Retrieve daily short-sale volume data for HK and US stocks. Includes short volume, ratio, and market-specific details like NASDAQ and NYSE short volumes.

Instructions

Get daily short-sale volume history for HK or US stocks. Market inferred from symbol suffix. last_timestamp: unix seconds (omit for latest). page_size: 1–100 (default 20). Unified data[]{timestamp(RFC3339), short_vol(daily short volume in shares), rate(decimal ratio e.g. 0.36=36%), close}. US-only: nasdaq_vol(NASDAQ short), nyse_vol(NYSE short). HK-only: balance(HKD), market_vol(total market volume that day). US source: FINRA/NASDAQ daily. HK source: HKEX daily.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolYesSecurity symbol, e.g. "AAPL.US" (US) or "700.HK" (HK). Market is inferred from suffix.
last_timestampYesQuery cutoff timestamp in seconds (pass current timestamp for latest data)
page_sizeNoPage size: 1–100 (default: 20)
Behavior4/5

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

Annotations already mark readOnlyHint, idempotentHint, openWorldHint. The description adds valuable behavioral context: market inference from symbol suffix, pagination behavior, data sources (FINRA/NASDAQ for US, HKEX for HK), and field details (short_vol, rate, etc.). 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.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured, starting with the main purpose and then detailing parameters and output fields. It is informative without being overly long, though minor redundancy exists.

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?

Despite the absence of an output schema, the description thoroughly explains all return fields (unified, US-only, HK-only) and parameter usage, making the tool's behavior fully understandable. No gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%; the description adds minimal extra meaning beyond the schema. It clarifies that last_timestamp can be omitted for latest data, and page_size default is 20, but these are already in the schema. No significant new semantics.

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 the tool retrieves daily short-sale volume history for HK or US stocks, and distinguishes it from similar tools like short_margin or short_positions by specifying exactly what data is returned.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance on when to use this tool versus alternatives (e.g., short_margin, short_positions). The description only explains what the tool does, without specifying when it is appropriate or when to avoid it.

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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