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czx1111

Code Audit MCP Server

by czx1111

analyze_data_flow

Trace data flow from user input to sensitive functions, identifying potential security vulnerabilities in code across multiple languages.

Instructions

分析代码中的数据流,追踪用户输入到敏感函数的数据传播路径。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
languageYes指定编程语言
entryPointNo入口函数名称
targetPathYes要分析的代码路径
Behavior2/5

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

No annotations are provided, and the description lacks behavioral traits such as destructive actions, rate limits, or side effects. It only states the basic purpose without disclosing how the analysis is performed or what effects it has.

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

Conciseness5/5

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

The description is a single concise sentence that efficiently captures the tool's purpose with no unnecessary words.

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?

Given the complexity of data flow analysis across multiple languages and no output schema or annotations, the description fails to explain return values, depth, limitations, or how results are presented.

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?

All three parameters are described in the schema, so the baseline is 3. The description adds context about user input and sensitive functions, but does not significantly enhance understanding beyond the schema.

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?

The description clearly states it analyzes data flow and tracks propagation from user input to sensitive functions, distinguishing it from sibling tools like build_call_graph or check_dependencies.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for data flow analysis but does not explicitly state when to use or not use this tool vs. alternatives, nor mention prerequisites or 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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