suggest_optimizations

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

No annotations are provided, so the description carries the full burden. It only states that the tool suggests optimizations but does not disclose whether it is read-only, modifies state, requires permissions, or has any side effects. This is a significant gap for an agent.

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 sentence, making it concise and front-loaded. However, the use of Portuguese may cause issues in a multilingual environment, and the brevity sacrifices completeness. Still, it is efficient in length.

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?

Given the tool has 2 simple parameters and no output schema, the description is minimally complete. However, it does not describe the format or structure of the suggestions (e.g., list, report), nor any dependencies or prerequisites. An agent would lack context on what to expect from the output.

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 both parameters having descriptions. The tool description does not add any additional meaning beyond the schema. It does not explain how 'categories' constrain suggestions or how 'projectPath' is used, so it meets the baseline but adds no extra value.

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 verb 'sugere' (suggests) and the resource 'otimizações' (optimizations) with a purpose to improve performance and maintainability. While it distinguishes itself from siblings like 'detect_issues' which detect problems, it could be more specific about the scope of optimizations.

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 provides no guidance on when to use this tool versus alternatives. It does not mention any context, prerequisites, or exclusions. With siblings like 'analyze_project' and 'validate_config', an agent would need more direction.

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