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deepq-financial-toolkit

deepq-financial-toolkit

by shenqingtech
OverviewSchemaSourceRelated ServersDiscussionsAdmin
JavaScript

个股技术面：获取股票的 KDJ、BOLL、MACD 等技术指标，以及技术面总结与走势分析

stockTechAnalysis

Analyze stock technical indicators like KDJ, BOLL, and MACD to provide technical summaries and trend analysis for A-share stocks.

Instructions

个股技术面：获取股票的 KDJ、BOLL、MACD 等技术指标，以及技术面总结与走势分析

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "query": "<query>"
    },
    "name": "stockTechAnalysis"
  }
}

Input Schema

NameRequiredDescriptionDefault
queryYesA股股票名称或代码

Output Schema

NameRequiredDescriptionDefault
msgYes
codeYes
dataNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changedv1.0.0
    • addedInput schema / $schema
      Added value: +"http://json-schema.org/draft-07/schema#"
    • addedInput schema / additionalProperties
      Added value: +false
  2. First observed

TDQS

C2.4/5.0
Behavior2/5

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

No annotations are provided, so the description carries full burden but lacks behavioral details. It doesn't disclose rate limits, authentication needs, data freshness, or output format (though output schema exists). The description only repeats the purpose without adding operational context.

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 concise and front-loaded, stating the core function in a single sentence without unnecessary details. However, it could be more structured by explicitly separating indicators from analysis, but it efficiently communicates the tool's intent.

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?

Given the tool has an output schema and high input schema coverage, the description is minimally adequate. However, for a technical analysis tool with no annotations, it should add more context like data sources, timeframes, or interpretation hints to be fully complete for agent use.

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 description adds no parameter semantics beyond the input schema, which has 100% coverage and clearly describes the 'query' parameter as 'A股股票名称或代码'. With high schema coverage, the baseline is 3, as the description doesn't compensate or provide additional meaning.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

Tautological: description restates name/title.

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 provided on when to use this tool versus alternatives. It doesn't mention prerequisites, exclusions, or compare to siblings such as 'stockFunAnalysis' for fundamental analysis or 'etfTechAnalysis' for ETFs, leaving the agent to infer usage context.

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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