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get_insights

Generate comprehensive project insights and analytics with actionable recommendations for code quality, architecture, learning, performance, and errors.

Instructions

Generate comprehensive project insights and analytics with actionable recommendations

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
categoriesNoInsight categories to include (optional - returns all if not specified)
min_confidenceNoMinimum confidence threshold for insights (default: 0.5)
actionable_onlyNoReturn only actionable insights with recommendations (default: false)
Behavior2/5

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

No annotations are provided, and the description doesn't disclose behavioral traits such as side effects, permissions, or whether it's read-only. It only mentions generating insights.

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 concise sentence that front-loads the purpose, but it is under-specified for the tool's complexity.

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 three parameters and no output schema or annotations, the description is too brief. It doesn't cover return format, default behavior, or any constraints.

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 coverage is 100%, so baseline is 3. The description adds 'actionable recommendations' which aligns with the actionable_only parameter, but does not provide additional meaning beyond the schema descriptions.

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 it generates project insights and analytics with recommendations, but it doesn't differentiate from many sibling tools like analyze_architecture or analyze_call_patterns.

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 on when to use this tool vs alternatives; the description lacks context about appropriate use cases.

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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