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zlinzzzz

FinData MCP Server

by zlinzzzz
OverviewSchemaRelated ServersScoreDiscussions
Python
Hybrid

cn_pmi

Retrieves China's Purchasing Managers' Index (PMI) data for manufacturing and non-manufacturing sectors, supporting monthly queries, date ranges, and specific field selection.

Instructions

Name:
    采购经理人指数(PMI)。

Description:
    获取采购经理人指数(PMI)数据。

Args:
    | 名称       | 类型  | 必填 | 描述                                   |
    |------------|-------|------|----------------------------------------|
    | m | str   | 否    | 月份（YYYYMM），支持多个月份同时输入，逗号分隔 |
    | start_m | str   | 否    | 开始月份（YYYYMM），与end_m同时使用 |
    | end_m   | str   | 否    | 结束月份（YYYYMM），与start_m同时使用  |
    | fields     | list  | 否    | 从Fields中选取需要查询的字段  |

Fields:
    - month - 月份YYYYMM
    - pmi010000 - 制造业PMI
    - pmi010100 - 制造业PMI-企业规模-大型企业
    - pmi010200 - 制造业PMI-企业规模-中型企业
    - pmi010300 - 制造业PMI-企业规模-小型企业
    - pmi010400 - 制造业PMI-构成指数-生产指数
    - pmi010401 - 制造业PMI-构成指数-生产指数-企业规模-大型企业
    - pmi010402 - 制造业PMI-构成指数-生产指数-企业规模-中型企业
    - pmi010403 - 制造业PMI-构成指数-生产指数-企业规模-小型企业
    - pmi010500 - 制造业PMI-构成指数-新订单指数
    - pmi010501 - 制造业PMI-构成指数-新订单指数-企业规模-大型企业
    - pmi010502 - 制造业PMI-构成指数-新订单指数-企业规模-中型企业
    - pmi010503 - 制造业PMI-构成指数-新订单指数-企业规模-小型企业
    - pmi010600 - 制造业PMI-构成指数-供应商配送时间指数
    - pmi010601 - 制造业PMI-构成指数-供应商配送时间指数-企业规模-大型企业
    - pmi010602 - 制造业PMI-构成指数-供应商配送时间指数-企业规模-中型企业
    - pmi010603 - 制造业PMI-构成指数-供应商配送时间指数-企业规模-小型企业
    - pmi010700 - 制造业PMI-构成指数-原材料库存指数
    - pmi010701 - 制造业PMI-构成指数-原材料库存指数-企业规模-大型企业
    - pmi010702 - 制造业PMI-构成指数-原材料库存指数-企业规模-中型企业
    - pmi010703 - 制造业PMI-构成指数-原材料库存指数-企业规模-小型企业
    - pmi010800 - 制造业PMI-构成指数-从业人员指数
    - pmi010801 - 制造业PMI-构成指数-从业人员指数-企业规模-大型企业
    - pmi010802 - 制造业PMI-构成指数-从业人员指数-企业规模-中型企业
    - pmi010803 - 制造业PMI-构成指数-从业人员指数-企业规模-小型企业
    - pmi010900 - 制造业PMI-其他-新出口订单
    - pmi011000 - 制造业PMI-其他-进口
    - pmi011100 - 制造业PMI-其他-采购量
    - pmi011200 - 制造业PMI-其他-主要原材料购进价格
    - pmi011300 - 制造业PMI-其他-出厂价格
    - pmi011400 - 制造业PMI-其他-产成品库存
    - pmi011500 - 制造业PMI-其他-在手订单
    - pmi011600 - 制造业PMI-其他-生产经营活动预期
    - pmi011700 - 制造业PMI-分行业-装备制造业
    - pmi011800 - 制造业PMI-分行业-高技术制造业
    - pmi011900 - 制造业PMI-分行业-基础原材料制造业
    - pmi012000 - 制造业PMI-分行业-消费品制造业
    - pmi020100 - 非制造业PMI-商务活动
    - pmi020101 - 非制造业PMI-商务活动-分行业-建筑业
    - pmi020102 - 非制造业PMI-商务活动-分行业-服务业业
    - pmi020200 - 非制造业PMI-新订单指数
    - pmi020201 - 非制造业PMI-新订单指数-分行业-建筑业
    - pmi020202 - 非制造业PMI-新订单指数-分行业-服务业
    - pmi020300 - 非制造业PMI-投入品价格指数
    - pmi020301 - 非制造业PMI-投入品价格指数-分行业-建筑业
    - pmi020302 - 非制造业PMI-投入品价格指数-分行业-服务业
    - pmi020400 - 非制造业PMI-销售价格指数
    - pmi020401 - 非制造业PMI-销售价格指数-分行业-建筑业
    - pmi020402 - 非制造业PMI-销售价格指数-分行业-服务业
    - pmi020500 - 非制造业PMI-从业人员指数
    - pmi020501 - 非制造业PMI-从业人员指数-分行业-建筑业
    - pmi020502 - 非制造业PMI-从业人员指数-分行业-服务业
    - pmi020600 - 非制造业PMI-业务活动预期指数
    - pmi020601 - 非制造业PMI-业务活动预期指数-分行业-建筑业
    - pmi020602 - 非制造业PMI-业务活动预期指数-分行业-服务业
    - pmi020700 - 非制造业PMI-新出口订单
    - pmi020800 - 非制造业PMI-在手订单
    - pmi020900 - 非制造业PMI-存货
    - pmi021000 - 非制造业PMI-供应商配送时间
    - pmi030000 - 中国综合PMI-产出指数

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
mNo
start_mNo
end_mNo
fieldsNo

Tool Definition Quality

A3.5/5.0
Behavior2/5

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

No annotations provided, and the description does not disclose behavioral traits such as data source, update frequency, rate limits, or default behavior when no parameters are given. Only the parameter table and field list are present.

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?

The description is well-structured with sections for name, description, args, and fields. It front-loads the purpose. However, the field list is lengthy; it could be referenced as an appendix, but it remains necessary and organized.

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?

Given the complexity (many fields) and absence of output schema and annotations, the description provides a comprehensive list of queryable fields and parameter explanations. Missing output format details, but the field list effectively conveys the data available.

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

Parameters4/5

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

Schema description coverage is 0%, but the description includes a detailed parameter table and an extensive field list with Chinese descriptions, providing meaning beyond the schema. The field list clearly explains each PMI sub-index, which is essential for correct parameter usage.

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 '获取采购经理人指数(PMI)数据' (Retrieve PMI data), specifying a clear verb and resource. It differentiates from sibling tools (e.g., cn_cpi, cn_gdp) which cover other economic indicators.

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?

No explicit guidance on when to use this tool vs alternatives (e.g., other economic data tools). The description does not mention context, prerequisites, or exclusions, leaving the agent to infer usage from the field list.

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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