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slamer59

MCP Python Refactoring

by slamer59

analyze_security_and_patterns

Scan Python code for security vulnerabilities and detect modern pattern improvements. Includes dependency and code analysis.

Instructions

Comprehensive security scanning and modern Python patterns analysis

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contentYesPython file content to analyze
file_pathNoPath to Python file to analyze
include_modernizationNoInclude modern Python pattern suggestions (default: true)
include_security_scanNoInclude code security vulnerability scanning (default: true)
include_dependency_scanNoInclude dependency vulnerability scanning (default: true)
Behavior2/5

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

With no annotations provided, the description carries full disclosure burden. It only states 'scanning and analysis' without detailing behavioral traits like whether it modifies files, requires authentication, has rate limits, or output format. The vague term 'comprehensive' lacks specifics.

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 efficient sentence. It is front-loaded with the key action. However, it is too brief and could benefit from elaboration without losing conciseness.

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 5 parameters, no output schema, and no annotations, the description is incomplete. It does not explain return values, failure modes, or the scope of 'comprehensive'. A more detailed description is needed for adequate agent comprehension.

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?

Schema description coverage is 100%, so baseline is 3. The description adds no extra meaning beyond the schema; parameters are self-explanatory from their names and descriptions. No compensation needed for low coverage.

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 'Comprehensive security scanning and modern Python patterns analysis' clearly states the tool's purpose with specific verbs and resources. However, it does not differentiate from sibling tools like 'analyze_python_file' or 'find_package_issues', which may overlap.

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 guidance on when to use this tool versus alternatives, such as 'analyze_python_file' for general analysis or 'find_package_issues' for dependency issues. No exclusions or context scenarios are provided.

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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