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longbridge

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Trading Days

trading_days
Read-onlyIdempotent

Retrieve trading days and half trading days for HK, US, CN, or SG markets over a specified date range. Returns dates in yyyy-mm-dd format.

Instructions

Get trading days for a market between dates. Returns trading_days[] and half_trading_days[] as "yyyy-mm-dd" strings. market: HK/US/CN/SG.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
marketYesMarket code: HK, US, CN, SG
startYesStart date (yyyy-mm-dd)
endYesEnd date (yyyy-mm-dd)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
trading_daysYesFull trading days in the requested range (yyyy-mm-dd).
half_trading_daysYesHalf-day trading sessions in the requested range (yyyy-mm-dd).
Behavior4/5

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

Annotations already declare readOnly, non-destructive, idempotent. Description adds the specific return structure (trading_days[] and half_trading_days[] as strings), providing useful context beyond defaults.

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?

Two sentences, no wasted words, key information front-loaded: verb, resource, scope, and output format. Efficient.

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?

Given full schema descriptions and presence of output schema (not shown but indicated), description covers essential aspects. Could mention timezone handling but acceptable.

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 has 100% coverage with descriptions for all three parameters. Description reiterates market codes but adds minimal additional meaning 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?

Description clearly states 'Get trading days for a market between dates.' and specifies return format and market codes. Distinguishes itself from siblings by being a simple date-range query.

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

Usage Guidelines3/5

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

No explicit guidance on when to use vs alternatives. Functionality is implied but not compared to other tools like market_status or trading_session.

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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