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twjackysu

TWSE MCP Server

get_warrant_trader_count

Retrieve daily warrant trader participation statistics from TWSE to analyze market activity levels and individual trader engagement in warrant trading.

Instructions

Get daily number of warrant traders.

Retrieves statistics on the number of individual traders participating in warrant trading on each trading day, providing insights into warrant market participation levels.

Returns: Formatted string containing warrant trader count data including: - Report date (出表日期) - Trading date (日期) - Number of traders (人數)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations provided, the description carries full burden. It clearly indicates this is a read-only retrieval operation ('Retrieves statistics'), specifies the data granularity ('on each trading day'), and describes the return format in detail. However, it doesn't mention potential limitations like date range constraints, data freshness, or access requirements.

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 perfectly structured: a clear purpose statement followed by elaboration and detailed return format. Every sentence adds value - no repetition or wasted words. The return format section is appropriately detailed given the lack of output schema.

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?

For a zero-parameter read tool with no annotations but with detailed return format documentation, this description is complete. It explains what the tool does, what data it provides, and the structure of returned information. The output format section compensates for the lack of output schema by clearly specifying the data fields.

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?

The tool has 0 parameters with 100% schema coverage, so the baseline is 4. The description appropriately doesn't discuss parameters since none exist, focusing instead on what data is retrieved and returned.

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 specific action ('Get daily number of warrant traders'), resource ('warrant traders'), and scope ('daily'). It distinguishes from siblings like 'get_warrant_basic_info' or 'get_warrant_daily_trading' by focusing specifically on trader count statistics rather than general warrant information or trading data.

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?

The description implies usage context ('providing insights into warrant market participation levels') but doesn't explicitly state when to use this tool versus alternatives. No specific exclusions or prerequisites are mentioned, leaving the agent to infer appropriate usage from the purpose alone.

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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