list_trade_dates
列出可通过MCP查询的A股交易日(倒序, 最新在前, 最近约30个), 供 get_daily_review/get_lhb 的 date 参数取值。更早历史复盘见网页 /days/ 与开放数据。
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | 返回条数, 默认20, 上限=近期窗口(约30) |
列出可通过MCP查询的A股交易日(倒序, 最新在前, 最近约30个), 供 get_daily_review/get_lhb 的 date 参数取值。更早历史复盘见网页 /days/ 与开放数据。
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | 返回条数, 默认20, 上限=近期窗口(约30) |
Changes observed during successful MCP inspections.
Input schema / properties / limit / descriptionPrevious value: -"返回条数, 默认20, 最大260"New value: +"返回条数, 默认20, 上限=近期窗口(约30)"Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description must cover behavior. Mentions descending order, approximate count (30), and limit default. Does not detail error behavior, exact output format, or limit validation, but adequate for a simple list tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Extremely concise single sentence with a useful note about earlier history. No unnecessary words, well front-loaded.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given one optional param and no output schema, description is fairly complete: explains purpose, usage context, limitation. Could add output format (e.g., YYYY-MM-DD), but overall sufficient.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema has 100% coverage (limit described with default and upper bound). Description adds value by specifying the approximate window size (~30) and reinforcing default, enhancing understanding beyond schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Description clearly states it lists A-share trading dates in descending order, about 30 recent ones, and specifies it is intended for use with get_daily_review/get_lhb date parameter, distinguishing it from sibling tools.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicitly tells to use output for date parameters of get_daily_review/get_lhb, and provides alternative for earlier history via webpage and open data. Lacks explicit 'when not to use' but is clear for the tool's simplicity.
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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