Skip to main content
Glama
kevynf

AKBridge MCP Server

by kevynf

macro_usa_services_pmi

Read-onlyIdempotent

Retrieve US Markit Services PMI preliminary report data from 2012-07-01 to present as a pandas DataFrame to support macroeconomic analysis.

Instructions

美国Markit服务业PMI初值报告,数据区间从 20120701-至今 https://datacenter.jin10.com/reportType/dc_usa_services_pmi :return: 美国Markit服务业PMI初值报告 :rtype: pandas.DataFrame

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.2

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, and non-destructive behavior, so the safety profile is covered. The description adds the temporal coverage window, which is genuinely useful context, but says nothing about update frequency, data source semantics, or return shape beyond the type hint.

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

Conciseness3/5

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

The body is short, but it is padded with docstring artifacts (:return:, :rtype:) that restate the report name already given at the top, plus a bare URL. The useful content (what it is, coverage window) is present but not cleanly front-loaded.

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

Completeness3/5

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

For a no-parameter, read-only data-pull tool with annotations covering safety, the description conveys the subject and coverage window adequately and there is no output schema to explain. It omits update cadence and source/dimension details that would round out an agent's expectation of the returned DataFrame.

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?

The tool takes zero parameters, so per the rubric the baseline is 4. There is no parameter semantics to clarify and the description does not introduce confusion.

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 names a specific resource (US Markit Services PMI flash report) with a stated data range, which is enough for an agent to distinguish it from close siblings such as macro_usa_ism_pmi and macro_usa_pmi. It stops short of explicitly contrasting those siblings, but the resource is unambiguous.

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?

There is no statement of when to use this tool versus alternatives, nor any prerequisites or exclusions. The only usage-relevant fact is the 2012-07-01-to-present coverage window, which the agent must interpret on its own.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Deploy Server

Other Tools