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analyze

Examines project structure, configurations, and dependencies to provide smart recommendations and generate optimal configs based on framework best practices.

Instructions

Project Intelligence: Comprehensive analysis of project structure, configuration, and dependencies. Provides smart recommendations, generates optimal configs, and suggests improvements based on framework best practices.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathNoProject path to analyze (default: current directory)
actionNoType of analysis to perform
formatNoOutput format
autoFixNoAutomatically apply safe fixes (default: false)
configTypeNoConfig type to generate (for action:"generate")
Behavior2/5

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

With no annotations, the description carries full burden for behavioral disclosure. It uses promotional language ('smart recommendations', 'optimal configs') but does not explain side effects like file modifications (via autoFix), revertability, or performance impact. The potential destructive action of autoFix is implied but not explicitly stated.

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 at two sentences, but it contains vague marketing terms ('intelligence', 'smart', 'optimal') that reduce precision. The structure is clear, but conciseness could be improved by replacing fluff with concrete examples.

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?

The description does not explain return values, default behavior when no parameters are provided, or how the tool handles multiple actions. With 5 parameters, all optional, and no output schema, the description should provide more context about the expected output and behavior.

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 the input schema already documents all parameters. The description adds general context about the tool's capabilities but does not provide additional semantic details for specific parameters beyond what the schema offers. Baseline of 3 is appropriate.

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 clearly states the tool performs comprehensive analysis of project structure, configuration, and dependencies, and generates recommendations and configs. However, it does not distinguish itself from sibling tools like 'generate' or 'config', which may have overlapping functionality.

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 (e.g., 'config' for config generation, 'review' for code review). There is no mention of prerequisites, typical scenarios, or fallback options.

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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