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gangtiser

gangtise-mcp

by gangtiser

gangtise_management_discuss_announcement

Retrieve AI-processed management discussion from financial reports (semi-annual/annual) by security code, report date, and dimension: business operation, financial performance, or risk analysis.

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。] 从财报公告(半年报/年报)中提取 AI 整理的管理层讨论内容,仅支持中报和年报。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
securityCodeYes证券代码,如 '600519.SH'
reportDateYesxxxx-06-30(中报)或 xxxx-12-31(年报)
discussionDimensionYesbusinessOperation=经营情况 | financialPerformance=财务表现 | developmentAndRisk=发展与风险 | all=全部维度(必填)
Behavior2/5

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

No annotations are provided, so the description carries full burden. It only states what the tool does (extract content) without disclosing traits like read-only nature, auth requirements, rate limits, or behavior when data is missing.

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

Conciseness4/5

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

Description is short and front-loaded with a necessary date reminder. Every sentence serves a purpose, though the date instructions could be seen as slightly verbose. Overall efficient.

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?

No output schema is provided, and the description does not explain the return format or any side effects. For a data extraction tool, more detail on what the AI-organized content looks like would improve completeness.

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 coverage is 100%, with each parameter described in the input schema. The description adds no extra meaning beyond the schema; it merely restates the report type restriction already implied by reportDate. Baseline 3 is appropriate.

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?

Description clearly states the tool extracts AI-organized management discussion from financial reports (semi-annual/annual), with a specific date context. It distinguishes from sibling tool 'gangtise_management_discuss_earnings_call', which is for earnings call transcripts.

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?

Description implies usage (for semi-annual/annual reports) but does not explicitly state when to use this tool vs alternatives like 'gangtise_management_discuss_earnings_call'. No exclusion criteria or when-not-to-use guidance provided.

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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