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gangtiser

gangtise-mcp

by gangtiser

gangtise_independent_opinion_list

Retrieve independent analyst opinions with filters for stock, industry, rating, and time period.

Instructions

[当前日期 2026-05-27,当前年份 2026,时区 Asia/Shanghai。用户说"今天/最近/今年/当前"时按此日期换算,不要使用训练数据年份。] 查询境外独立研究员观点列表,支持按证券、行业、评级、时间范围筛选。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fromNo
startTimeNoYYYY-MM-DD HH:mm:ss。当前日期 2026-05-27,当前年份 2026
endTimeNoYYYY-MM-DD HH:mm:ss。当前日期 2026-05-27,当前年份 2026
keywordNo
rankTypeNo1=综合排序 | 2=时间倒序
industryListNo
securityListNo
ratingListNo
ratingChangeListNo
sizeNoMax rows (default 20 for paginated endpoints)
fetchAllNoFetch all pages; may be slow for large datasets
Behavior2/5

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

With no annotations, the description must cover behavioral traits. It only states it is a list query with filtering. It does not disclose read-only nature, authentication needs, rate limits, pagination behavior, or data freshness. Minimal transparency.

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

Conciseness2/5

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

The description is front-loaded with an irrelevant date instruction (30 chars) that serves a training context, not tool usage. The actual description is one sentence but buried. Not concise nor well-structured for an agent.

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 11 parameters, no output schema, and no annotations, the description is insufficient. It does not explain return format, pagination, or how to use parameters together. An agent would need additional inference.

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 coverage is 45%, so the description should add meaning. It lists filter categories (security, industry, rating, time) but does not explain parameter formats or semantics for undocumented parameters like industryList or keyword. Only high-level guidance.

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 states it queries a list of overseas independent researcher opinions and supports filtering. This is a specific verb and resource. However, it does not distinguish from sibling tools like gangtise_opinion_list or gangtise_foreign_opinion_list, which may overlap in purpose.

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

Usage Guidelines2/5

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

The description mentions filtering capabilities but provides no guidance on when to use this tool versus alternatives. No explicit context, when-not-to-use, or sibling comparisons are given, leaving the agent to guess based on the name 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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