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chestnutsheep

DeepFusion MCP Server

chart_juglar_cycle

Generate a Juglar cycle (fixed capital investment) analysis chart to visualize economic cycles from financial market data. Customize output path and data limit for tailored analysis.

Instructions

生成朱格拉周期(固定资本投资周期)分析图

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
output_pathNojuglar_cycle.png

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.6/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only says 'generates a chart' and does not disclose that the tool likely writes a file via output_path, whether it depends on pre-existing Juglar data, or what happens when data is missing. No side effects or operational implications are communicated.

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 a single, front-loaded sentence with no filler or redundant wording. It is concise and immediately communicates the core purpose, although the brevity comes at the cost of missing useful context.

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?

For a two-parameter chart-generation tool with no annotations and opaque parameter semantics, the description is incomplete. It omits the data source, file-writing behavior, and the relationship to sibling Juglar tools. Even if an output schema exists, the invocation behavior and prerequisites remain unclear.

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

Parameters1/5

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

Schema description coverage is 0%, and the description adds no meaning to either parameter. 'limit' is entirely unexplained, and 'output_path' is only interpretable through its default value. An agent cannot determine valid ranges, units, or rational choices beyond relying on the defaults.

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 states a specific verb ('生成') and resource ('朱格拉周期分析图'), with a parenthetical defining the economic concept. It distinguishes itself from other cycle chart tools by naming the Juglar cycle specifically, though it does not explicitly contrast with the related data tools like juglar_cycle or data_juglar.

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 guidance is given about when to use this tool versus alternative cycle tools or data tools. There are no prerequisites mentioned, such as whether cycle data must be collected or cached first, and no exclusions are stated. Usage must be inferred entirely from the name and the action verb.

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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