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Detect Code Smells

detect_code_smells
Read-onlyIdempotent

Analyzes cached source files to identify structural code smells. Automatically infers the programming language and highlights problematic patterns.

Instructions

Detect structural code smells in a cached file. Prerequisite: load_file. Auto-infer language.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
languageNoPrimary language (e.g. TypeScript, Python, JavaScript, Go, Rust, Java). Auto-infer from files.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYesWhether the tool completed successfully.
resultNoSuccessful result payload.
errorNoError payload when ok is false.
Behavior4/5

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

Annotations already declare read-only, non-destructive, idempotent behavior. The description adds valuable context: the tool operates on a cached file, requires a prerequisite, and auto-infers language, which goes beyond annotations.

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?

Two sentences, front-loaded with purpose, no wasted words. Every sentence earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity, rich annotations, and output schema, the description covers prerequisite, auto-inference, and purpose. No gaps for an agent to misuse.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with a good description for the 'language' parameter. The tool description adds the auto-infer hint, reinforcing that the parameter is optional. This adds value over the schema alone.

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 the tool detects structural code smells in a cached file, with a specific verb and resource. It distinguishes from siblings like analyze_pr_impact or detect_api_breaking_changes by focusing on code smells.

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

Usage Guidelines4/5

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

Explicitly states prerequisite (load_file) and mentions auto-infer language, giving clear context for when to use. Does not explicitly state when not to use, but purpose is distinct enough.

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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