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WaHaiLong

Kingdee MCP Server

by WaHaiLong

kingdee_query_change_log

Read-onlyIdempotent

Query modification history of business documents in Kingdee Cloud Star. Track who changed what field, from which value to which value, for data governance and compliance.

Instructions

查询金蝶云星空的单据变更记录(BOS_ModifyLog)。

记录单据字段的修改历史:谁在什么时候修改了什么字段、从什么值改成了什么值。 用于数据变更追溯、合规审计、问题排查。

推荐场景:

  • 数据治理:追踪关键字段的变更历史

  • 问题排查:某张单据的修改记录

  • 合规要求:保留重要数据的修改轨迹

返回字段说明:

  • FCREATEDATE: 修改时间

  • FCREATORID: 修改人

  • FOBJECTID: 单据内码

  • FFIELDNAME: 字段名称

  • FOLDVALUE: 修改前的值

  • FNEWVALUE: 修改后的值

Returns: str: JSON 格式的变更记录列表

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations (readOnlyHint=true, destructiveHint=false) indicate safe read. The description adds behavioral context: it retrieves historical change records with details on who, what, when, and value changes. No contradictions.

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 well-structured with clear sections for purpose, scenarios, and return fields. It is slightly verbose but effectively front-loads key information. Minor redundancy could be trimmed.

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

Completeness5/5

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

Given the tool's complexity (11 parameters, output schema exists), the description covers purpose, use cases, and return fields comprehensively. It is complete for an agent to understand usage.

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?

The input schema already has detailed descriptions for all 11 parameters (100% coverage). The description adds no additional parameter-specific meaning, so 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?

The description specifies the tool queries bill change logs for Kingdee Cloud Star, targeting BOS_ModifyLog. It clearly states the resource and action, distinguishing it from sibling tools like kingdee_query_bills which query current bill data.

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

Usage Guidelines4/5

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

Provides recommended scenarios (data governance, problem investigation, compliance) and lists return fields. While it doesn't explicitly contrast with siblings, the use case is clear and well-contextualized.

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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