review

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

No annotations are provided, so the description must fully disclose behavior. It mentions 'comprehensive code review' but fails to explain that it requires file access, executes commands, or produces a report with issues. The behavioral impact is under-disclosed given the complex parameters.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that front-loads the key purpose. While concise, it could be more informative by adding a second sentence on output or usage. Still, it is well-structured and not verbose.

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

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

With 17 parameters and no output schema, the description should clarify the output format and what 'detailed reporting' entails. It lacks information on return values, typical usage flow, and file access implications, making it incomplete for an agent to fully anticipate tool behavior.

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

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

Schema coverage is 100% with all parameters described, so the baseline is 3. The description previews review types (security, performance, etc.) which aligns with the reviewType enum, but does not add significant meaning beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool performs comprehensive code review using GitHub Copilot CLI with multiple review types and detailed reporting. It effectively distinguishes from sibling tools like 'ask' or 'brainstorm' by specifying its focus on code analysis.

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

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

The description implies usage for code review but does not explicitly state when to use versus alternatives like 'ask' or 'batch'. No exclusions or when-not context is provided, making it adequate but lacking explicit guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.