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gemini_code_review

Review code files using AI to detect bugs, adherence to best practices, and areas for improvement. Specify focus areas for a targeted analysis.

Instructions

Use Gemini CLI to review code for correctness, best practices, and improvements

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contextNoAdditional context (max 1000 chars)
languageNoProgramming language (auto-detected if not specified)
file_pathYesPath to the source code file to review
focus_areasNogeneral
Behavior2/5

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

With no annotations available, the description carries the full burden of behavioral disclosure. It does not state whether the tool reads only, modifies files, has side effects, or what the return value looks like. This is a significant gap for an external CLI invocation.

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, focused sentence that immediately states the tool's purpose. It is appropriately concise with no wasted 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?

The tool has no output schema and no annotations, and the description does not cover return format, side effects, external dependencies (Gemini CLI), or how it fits among siblings. This leaves the agent with insufficient context for safe and effective invocation.

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?

The schema provides descriptions for 75% of the parameters, so the baseline is near 3. The description mentions aspects like 'correctness' and 'improvements' which loosely align with focus_areas, but it does not add direct parameter-level meaning beyond the schema.

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's action ('review code') and scope ('for correctness, best practices, and improvements'). It does not explicitly distinguish from sibling tools like gemini_analyze_code or gemini_suggest_improvements, but the purpose is specific enough to be understood.

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. There is no mention of common use cases, prerequisites, or exclusions, leaving the agent without clear decision criteria.

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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