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财经快讯(实时)(实时与快讯) 实时财经快讯,三个独立来源:cls(财联社)/ jin10(金十)/ sina(新浪)。按发布时间倒序,延迟约 60 秒。 需要 PRO 及以上套餐(低档位调用返回 403)。

Args: source: 快讯来源:cls / jin10 / sina(必填) start_date: 起始日期 YYYYMMDD end_date: 结束日期 YYYYMMDD importance: 仅返回重要度 ≥ 此值的快讯(1 = 仅重要)

Returns: JSON 数组;字段: source, publish_time, content_cn, tags, importance, url

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sourceYes快讯来源:cls / jin10 / sina
end_dateNo结束日期 YYYYMMDD
importanceNo仅返回重要度 ≥ 此值的快讯(1 = 仅重要)
start_dateNo起始日期 YYYYMMDD

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does well: it discloses the ~60-second delay, descending order by publish time, PRO requirement (403 on lower tiers), and the JSON array return structure. It could add more about rate limits or pagination, but the disclosed traits are valuable.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

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

The description is organized with Args and Returns sections and includes essential behavioral context, but the opening phrase '财经快讯(实时)(实时与快讯)' is redundant and cluttered, making it less concise than it could be. Still, most content earns its place.

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?

The description covers the essential context: purpose, sources, required and optional parameters, access control, latency, and return fields. Given that an output schema exists and the tool is relatively simple, it is fairly complete, though it could mention pagination or result limits.

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 description coverage is 100%, and the description's Args section essentially restates the schema's parameter descriptions without adding new meaning. It doesn't clarify anything beyond what the schema already provides, so the baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies the tool as providing real-time financial news flashes from three specific sources (cls, jin10, sina), which distinguishes it from other data tools. However, it lacks an explicit verb like 'retrieve' or 'list', and doesn't name competing sibling tools such as 'express'.

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 when to use the tool (to get real-time financial news from specified sources) and provides access constraints (PRO required, 403 otherwise), but it doesn't explicitly state when not to use it or mention alternatives. The usage guidance is implied rather than explicit.

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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