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Mars-0310

morning-brief-mcp

by Mars-0310

get_morning_news

Retrieve clustered and ranked A-share morning news events for a target trading date, filtering out raw upstream feeds and investment advice.

Instructions

Get deterministic clustered and ranked A-share morning news events for a target trading date; never raw upstream feeds or investment advice.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
categoriesNo
target_dateNo
limit_per_categoryNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Install Server

TDQS

A3.5/5.0
Behavior3/5

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

No annotations are provided, so the description carries the behavioral disclosure burden. It adds useful non-obvious traits: deterministic, clustered/ranked, and not raw upstream feeds or investment advice. However, it does not mention behavior around missing dates, default category handling, or what happens when no news exists, leaving those to be inferred.

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 a single sentence with no filler, and the key distinguishing traits (deterministic, clustered, ranked, A-share, not raw) are front-loaded. Every phrase earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given zero annotations and zero schema descriptions, the description should compensate with parameter and usage guidance, but it only covers the tool's purpose and processing nature. The output schema may describe return values, but invocation context and sibling differentiation remain incomplete for an agent.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate, but it only hints at target_date via 'target trading date'. Categories and limit_per_category receive no explanation, leaving their formats and semantics unclear beyond the parameter names and defaults.

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 has a specific verb ('Get'), a specific resource ('deterministic clustered and ranked A-share morning news events'), and a clear scope ('for a target trading date'). It also distinguishes itself from raw upstream feeds, which helps separate it from the sibling get_news_coverage.

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 (when deterministic A-share morning news events are needed for a target date), but it does not explicitly name alternatives or state conditions for choosing this tool over siblings like generate_morning_brief or get_news_coverage. The exclusion of raw feeds/advice is about output boundaries, not about when to use the tool.

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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