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kevynf

AKBridge MCP Server

by kevynf

macro_usa_job_cuts

Read-onlyIdempotent

Retrieve US Challenger job cuts data from 1994 to present for analyzing layoff trends and labor-market conditions.

Instructions

美国挑战者企业裁员人数报告,数据区间从 19940201-至今 https://datacenter.jin10.com/reportType/dc_usa_job_cuts :return: 美国挑战者企业裁员人数报告 :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, destructiveHint=false and openWorldHint, so the safety profile is covered. The description adds genuinely new context: the source URL and the historical date range (19940201-present). It does not describe refresh cadence or whether the endpoint is rate-limited, so a 3 fits.

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?

Compact, but the ':return:' line merely restates the tool name already given in the first line, and the raw URL is dropped in without framing. Front-loaded with the resource name, so structure is acceptable but a sentence is wasted on redundancy.

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-param fetch tool with no output schema, the description covers what it returns (a pandas.DataFrame) and its coverage window. However, it does not indicate the columns/fields of the report, so an agent cannot anticipate the shape of the returned data beyond the type.

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 nothing to disambiguate, and the description correctly implies no user-supplied input is needed.

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?

States a specific resource/indicator ('US Challenger job cuts report') with data coverage, which lets an agent distinguish it from the many other macro_usa_* siblings like macro_usa_non_farm or macro_usa_initial_jobless. It is clear what the tool fetches, though it never explicitly contrasts itself with those neighbors.

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 statement of when to use this tool versus alternatives, no prerequisites, and no exclusions. The docstring-style text is purely descriptive; an agent must infer its role in the macro data family.

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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